Abstract
Light harvesting complex II (LHCII) in plants and green algae have been shown to adapt their absorption properties, depending on the concentration of sunlight, switching between a light harvesting and a non-harvesting or quenched state. In a recent work, combining classical molecular dynamics (MD) simulations with quantum chemical calculations (Liguori et al. in Sci Rep 5:15661, 2015) on LHCII, it was shown that the Chl611–Chl612 cluster of the terminal emitter domain can play an important role in modifying the spectral properties of the complex. In that work the importance of charge transfer (CT) effects was highlighted, in re-shaping the absorption intensity of the chlorophyll dimer. Here in this work, we investigate the combined effect of the local excited (LE) and CT states in shaping the energy landscape of the chlorophyll dimer. Using subsystem Density Functional Theory over the classical s MD trajectory we look explicitly into the excitation energies of the LE and the CT states of the dimer and their corresponding couplings. Upon doing so, we observe a drop in the excitation energies of the CT states, accompanied by an increase in the couplings between the LE/LE and the LE/CT states facilitated by a shorter interchromophoric distance upon equilibration. Both these changes in conjunction, effectively produces a red-shift of the low-lying mixed exciton/CT states of the supramolecular chromophore pair.
Supplementary Information
The online version contains supplementary material available at 10.1007/s11120-022-00950-7.
Keywords: Charge transfer, Exciton, Chromophore, Diabatic
Introduction
Light harvesting complex II (LHCII) or the major antenna complex of the Photosystem-II (PSII) in higher plants and green algae, is a complex structure accounting for almost 80% of the light absorbed by PSII. LHCII exists in the native trimeric form where one monomer consists of eight chlorophyll a (Chla), six chloropyll b (Chlb), two luteins (Lut), one neoxanthin (Nx) and one violaxanthin (Vx) chromophore as cofactors. The trimeric (major) LHCII and the monomeric (minor) LHCII complexes (CP24, CP26 and CP29) along with the PSII core form the PSII supercomplex, the crystal structure of which has been determined at high resolution (Wei et al. 2016; Su et al. 2017). Previous studies on LHCs, have highlighted the importance of the excitation energy transfer (EET) processes in fine tuning the spectral properties of the complexes (Segatta et al. 2019; Cupellini et al. 2020b; Balevičius et al. 2017; Maity et al. 2019; Duffy et al. 2013; Chmeliov et al. 2015; Lapillo et al. 2020; Khokhlov and Belov 2019). [We refer the reader to reference (Segatta et al. 2019) for a focused review on the different theoretical methods and to reference (Cupellini et al. 2020b) for the challenges therein]. In addition Electron Transfer (ET) effects, giving rise to Charge Transfer (CT) states, have also been shown to play a crucial role in modulating the overall spectral and energy landscape of the complexes especially for closely interacting pigments (Kell et al. 2014; Wahadoszamen et al. 2014; Novoderezhkin et al. 2007; Miloslavina et al. 2008; Cupellini et al. 2020a). Although CT states by themselves are optically dark states, previous theoretical studies have shown that these states can mix with the local states thereby gaining some dipole strength (Cupellini et al. 2018; Nottoli et al. 2018). Previous studies have also elucidated a strong correlation between the LHC energetics and protein conformational changes (Ruban et al. 2012; Krüger 2014; Liguori et al. 2013), showing that the so-called ‘quenched’ states of LHCs are linked to particular conformations where the chromophore–chromophore interactions are strengthened (Pascal et al. 2005; Ruban et al. 2007; Ahn et al. 2008; Bode et al. 2009; Miloslavina et al. 2008). In this respect, interactions between a particular chlorophyll dimer (originally labelled Chla611–Chla612 in reference Liu et al. 2004) is particularly interesting because it is often assumed to be a critical site for the switch between light harvesting and quenched conformations of LHCs (Ruban et al. 2007; Mozzo et al. 2008; Mascoli et al. 2019).
The advent of Classical Molecular Dynamics (MD) simulations in the microsecond () time scale allows for probing the chromophore dynamics at atomistic resolution, also allowing the inclusion of lipid membrane and solvent effects (Curutchet and Mennucci 2017). Snapshots from these long simulations can be used as input for quantum chemical calculations to provide a computationally efficient strategy for studying spectral properties of LHCs over such time scales. We note that care has to be taken that the force field reproduces the structure of the chromophores well enough (Andreussi et al. 2017; Jurinovich et al. 2015) and have checked in earlier work (Sen et al. 2021) that the difference of excitation energies between MM and QM optimized structures does not exceed 0.1 eV. In that work, we performed Time-Dependent Density Functional Theory (TDDFT) (Runge and Gross 1984; Casida 1995) calculations on the above chlorophyll dimer (i.e. Chla611–Chla612) on selected snapshots from a particular trajectory obtained from a classical MD simulation which showed significant structural disorder from the crystal structure (Liguori et al. 2015). This particular trajectory [trajectory “A” in the original work of reference (Liguori et al. 2015) that was also used in reference (López-Tarifa et al. 2017)] was one of six independent simulations where the excitonic interactions between the chlorophyll dimer displayed marked differences compared to the others (Liguori et al. 2015). In our previous work, it was shown that a drop in the total oscillator strength of the Q bands ( and ) could be explained using a transition density decomposition analysis, wherein an increase in the CT component of the oscillator strength was observed upon equilibration. Furthermore a characterization of the excitonic states using charge transfer descriptors of Plasser and Lischka (2012) revealed an overall increase of the CT character of the low-lying states. Both of these analysis clearly showed an increase in the mixing of the CT states with the local excited (LE) Q states, making it difficult to make a quantitative calculation of the energies of the LE and the CT states towards the end of the trajectory.
In this previous work, the delocalized orbital picture resulting from the use of a supramolecular basis made the interpretation of the TDDFT states difficult when the distance between the chromophores was small. In the current work, we instead use a diabatic representation built on the framework of subsystem DFT in which the identification as LE or CT states becomes straightforward. A pictorial description of the involved electronic states for both these processes for two identical pigments is shown in Fig. 1. We construct a model Hamiltonian that can be used to predict the importance of the ET and EET processes by computing the subsystem DFT energies of the individual diabatic states (diagonal elements of the model Hamiltonian) as well as their couplings (the off-diagonal elements). We thereby focus on the pair Chla611–Chla612 and compare computed matrix elements from the beginning and the end of the MD trajectory. Upon doing so, we observe a decrease in the energies of the CT states which are accompanied by an increase in the coupling between the LE and CT states and among the LE states themselves, resulting from a shorter interchromophoric distance between Chla611 and Chla612 after equilibration. We show that this conformational change results in a red-shift of the low-lying mixed excitonic/CT state, induced by a drop in the CT state energy and an increased coupling between the local and CT state and between the local states themselves.
This paper is organized as follows: In the “Methods” section, we introduce the model Hamiltonian and give an overview of the subsystem DFT framework. Therein, the defining equations for the approximations used in the calculation of the matrix elements of the effective Hamiltonian (representing the local and CT energies and their couplings) are discussed. In the “Computational details” section, the technical details of the workflow and the calculations performed to obtain the matrix elements are specified. In the “Results and discussion” section, we then discuss the obtained values of the matrix elements of the model Hamiltonian and compare with the supramolecular picture. In the final concluding section we also present a brief outlook for further studies.
Methods
In order to obtain approximate solutions of the Schrödingers equation of a many-body system involving electrons and nuclei one usually employs the Born–Oppenheimer approximation (1927). In this approximation the total wavefunction of the system, , where and represent the set of coordinates of the nuclei and the electrons, respectively, is written as a product of the electron and nuclear wavefunctions, i.e.
1 |
where is electronic wave function obtained for a fixed nuclear configuration , and the are nuclear wave functions for vibrational states . The product of these two wave functions, , describes so-called vibronic states and their energy, . Vibronic transitions are associated with a change in both the electronic and the vibrational states, the corresponding rate of which is given by the Fermi’s golden rule,
2 |
3 |
where is the rate, a perturbation operator and , are the energies of the initial and final vibronic states and respectively. In the Franck–Condon approximation, the matrix element, is separated into two factors, i.e.,
4 |
The first term on the rhs of Eq. 4 represents the coupling matrix element between the electronic states i and j that is our main interest. The nuclear wavefunction overlap matrix elements, given by the second term on the rhs of Eq. 4, determine the homogenous (vibrational) broadening of the transition between the two electronic states i and j and will not be considered explicitly.
We aim to calculate the matrix elements of the electronic Hamiltonian in a diabatic basis, consisting of the electronic ground state and sets of excited states , , and , where states , describe LE states of chromophores A and B, and , describe the non-local charge transfer states ( and ) respectively. This basis is illustrated graphically in Fig. 2. In the subsystem, or weak coupling, approach, these states can be written as a product of local states,
5 |
6 |
7 |
8 |
9 |
where , , and are, respectively, the ground state, LE state, ionized and electron-attached wavefunctions for subsystems A or B. Note that we have dropped the explicit coordinate dependence of the set of ’s on and in the above definitions for convenience. In this diabatic basis the Hamiltonian matrix assumes a blocked structure with diagonal blocks representing the electronic ground state (), interactions between LE states, (), as well as interactions between CT states (). Off-diagonal blocks (, where and ) couple these physically distinct states and lead to states with mixed LE–CT character.
In order to describe the final states we need to compute the values of the matrix elements in each of the blocks. We can set the energy of the ground state to zero and define the diagonal matrix elements of and block, i.e. , where, as LE and CT excitation energies. The calculation of off-diagonal matrix elements inside the block, i.e. where and is facilitated by the fact that the two transition densities are (almost) non-overlapping. We furthermore note that off-diagonal elements in block, i.e. the coupling between CT states in which the transfer goes in opposite directions can be assumed negligible as they correspond to a two-electron process. The couplings between the GS and CT state and between the GS and LE states are accounted for in the calculation of the CT and LE energies and need not be considered explicitly. The final significant coupling is between LE and CT states and will be calculated in a generalization of Fragment Orbital DFT (Senthilkumar et al. 2003, 2005) that we describe below.
As the diabatic states will be constructed independently from each other, they are in general non-orthogonal and adiabatic eigen states and energies need therefore be determined by solving a generalized eigenvalue problem
10 |
where denotes the diabatic matrix representation of . The overlap matrix is constructed in addition to evaluation of the matrix elements of and are the coefficients of the adiabatic eigenstates in the diabatic basis. As the coupling between the ground state and the locally excited states is zero by construction, and the coupling between the ground state and the charge transfer states is very weak for the systems we are considering, we thereby focus only on the set of diabatic states {, , }. The structure of the matrices and used in this work is shown in Fig. 3. We note that shares a similar structure with other ab-initio exciton models used to describe such processes (Cupellini et al. 2018; Nottoli et al. 2018). In the next sections we will introduce a composite approach to obtain the non-zero matrix elements.
Subsystem DFT
While the theory has thus far been general and applicable with any diabatic wave function ansatz, we will now specialize to the wave functions provided by subsystem DFT (Jacob and Neugebauer 2014; Wesolowski et al. 2015). Subsystem DFT is typically formulated such that a monomer basis set is used to represent a subsystem and will thereby by construction yield local states. We, therefore construct each of the aforementioned diabatic states from separate sets of (spin)orbitals of A and B resulting from an underlying subsystem DFT calculation. The ground state determinant, in Eq. 5 (Fig. 2) of the combined system A + B in the subsystem framework is thereby written as combination of two sets of subsystem spinorbitals and on A and B comprising and in Eq. 5 i.e,
11 |
In the following section we briefly outline the basic formulation of subsystem DFT and thereafter introduce the different flavours that are used in approximating the matrix elements of .
The basic idea of subsystem DFT is to partition the electron density of a total system into subsystem contributions (Wesolowski and Warshel 1993)
12 |
where n is the number of subsystems. The total energy of the system is then minimized with respect to all , where each of the subsystem densities is usually represented by a Kohn–Sham like system of independent particles. In case of two subsystems A and B, the ground state energy of A + B is then given by,
13 |
where
14 |
Therefore in subsystem DFT, in addition to the usual functional, we also need to approximate (Wesolowski and Weber 1996; Wesolowski et al. 1996) the non-additive part of the kinetic energy, . For weakly interacting or non covalent interactions, there are sufficiently good density functional approximations available for this quantity. Employing these, the set of spinorbitals and in Eq. 11 can then be obtained by solving the modified Kohn–Sham equations with constrained electron density (KCSED) for each subsystem A and B. In this approach, each subsystem is solved individually with the other subsystem being included as a frozen environment (hence the alternative name frozen density embedding or FDE) in the form of an embedding potential, i.e. and are obtained as solutions of,
15 |
where and s are the spatial and spin coordinates, respectively. For simplicity, we assume that both subsystems have an even number of electrons so that we can integrate out the spin coordinate. The one-electron Kohn–Sham potentials are then
16 |
and
17 |
in which a non-additive exchange-correlation energy is defined for convenience:
18 |
The above procedure can be made fully self-consistent by including the mutual polarization between the subsystems by the effect of the embedding potential in so-called freeze-and-thaw cycles (Wesolowski and Weber 1996; Gritsenko 2013; Jacob and Neugebauer 2014). Compared to other embedding schemes one may in this way account for polarization while still allowing for the Pauli repulsion that is missing in classical embedding (Jacob et al. 2006).
In applying these Kohn–Sham wave functions, there are two sources of non-orthogonality (Pavanello et al. 2013), the first one stemming from the overlap between the full electron diabatic states as in Eq. 10, and the second one arising at the subsystem level from the fact that the two set of orbitals and of subsystem A and B are non-orthogonal with respect to each other.
Calculation of block
Having discussed the calculation of the ground state, , by subsystem DFT in the previous section, we now introduce the formulas used in obtaining the matrix elements of the blocks , and that we need in this work. We will compute these blocks independently (each block is computed without the knowledge of the other one) in separate sets of calculations. We assume that all of the LE states and in Eqs. 6 and 7 (Fig. 2) can formally be constructed from single-particle excitations from either or :
19 |
20 |
where and a are creation and annihiliation operators and indices are chosen such that and . The coefficients and describe the coupling of these single orbital transitions for state localized on A and state localized on B. The diagonal matrix elements of the block are taken from two separate FDEu (where u denotes uncoupled) TDDFT (Casida and Wesołowski 2004; Neugebauer 2007, 2008, 2010; König et al. 2013) calculations by selecting the states of interest. In this work, we are interested in the lowest two states and for each of the chromophores. These energies are also called site energies in the context of interacting chromophores and are obtained as solutions of
21 |
Here, and is the subsystem partitioned response matrices (Neugebauer 2007; König et al. 2013) assuming real spatial orbitals, the set of eigenvalues (site energies) and the set of corresponding excitation and de-excitation vectors for each of the and states, respectively [see for example Eq. 23 in Ref. König et al. (2013)]. Note that by choosing the FDEu starting ansatz the matrix becomes diagonal inside the and subblocks. The coupling between the LE states and , is subsequently approximated by the coupling between the transition densities of excitations localized on fragments A and B and yields the remaining non-zero elements of the block. In the Tamm–Dancoff approximation (denoted as FDEc-TDA) it is given by König et al. (2013),
22 |
where and are the transition densities of excitations and corresponding to and , respectively, and the kernel is given by
23 |
where and denote the usual exchange-correlation and kinetic energy functional and is the summed density of subsystems A and B. The first term of Eq. 23 represents the Förster type Coulomb coupling between two localized excitations whereas additional short-range interactions are taken into account via the approximate exchange-correlation and kinetic energy functionals in the second and third term. The remaining elements to be considered are the overlap matrix elements, these are taken as elements of the unit matrix so that diagonalization of the LE submatrix will reproduce the FDEc-TDA results. We would like to note here that the above formulation of subsystem TDDFT lacks an explicit description of charge transfer excitations (which we calculate in the next section using explicitly constructed charge localized states) that become significant when two chromophores are sufficiently close to each other (Sen et al. 2021). Recent works by Neugebauer and co-workers using projection based embedding techniques (as an alternative to the conventional non-additive functionals used here) in combination with a supramolecular basis set in the context of subsystem TDDFT have been shown to be able to describe such inter-subsystem charge transfer excitations and reproduce the supramolecular results exactly (Tölle et al. 2019a, 2019b, 2020; Scholz et al. 2020; Tölle and Neugebauer 2022). We have not considered this extension of FDE here.
Calculation of block
A detailed discussion of the computation of CT energies with subsystem DFT and other approaches can be found in the literature (Pavanello and Neugebauer 2011; Pavanello et al. 2013; Solovyeva et al. 2014; Ramos et al. 2015). Here we will give the essential points, largely following Marcus Theory. We start by considering the charge transfer process in terms of (quasi-)diabatic charge localized states and first consider the particular case of defined in Eq. 8 and describing the process
24 |
where an electron is transferred from A to B. In order to calculate the excitation energy of state CT1 () with respect to the GS () one then solves a 2 × 2 generalized eigenvalue equation (Pavanello and Neugebauer 2011; Pavanello et al. 2013; Migliore 2009, 2011). This yields two adiabatic state energies with their difference given by,
25 |
where
26 |
and we abbreviated CT1 by 1 and the GS by 0. , , and represents the diabatic energies of the GS and CT1, the coupling between them and their overlap, respectively. When the energy difference between the diabatic states is much larger than the coupling (), the diabatic and adiabatic energies coincide, i.e. Eq. 25 at small overlap and coupling becomes,
27 |
Similar considerations apply for the reverse CT state defined in Eq. (9).
In the subsystem DFT framework, these CT states are constructed from broken-symmetry KS determinants. Orbitals are optimized following Eq. 15 in a series of freeze-and-thaw cycles, for two neutral fragments A and B comprising the ground state () and two charge-separated states and (or and ) comprising the product state (or ). These in total six sets of subsystem KS orbitals are combined to generate the three diabatic states , and . In contrast to the procedure followed for the LE states, where it is easy to consider many excited states as they all are generated from the same GS orbital set, the procedure for CT states will produce only one CT1 state and only one CT2 state, each with it own set of optimized orbitals that include the effect of polarization via the freeze–thaw optimization step.
For example, in Eq. 8 is constructed as,
28 |
where , are the set of orbitals for the corresponding charge localized cation and anion . These states are then used to calculate the matrix elements in Eqs. 25 and 26 as,
29 |
30 |
Here is the transition density between states 0 and 1 or 2 (i.e. between and or ) and the corresponding overlap. is the density calculated using orbitals of the appropriate diabatic states 0, 1 or 2 ( or /). We need to account for two kinds of non-orthogonality in these calculations. Since the subsystem orbitals are the results of an FDE calculation, their product wave function is not necessarily normalized so that . Furthermore, the off-diagonal elements and are in general non-zero ( is zero, as mentioned before). This means that rather than focusing on only the blue part of Fig. 3, as is our intention, we also need to check the magnitude of the GS–CT coupling, or equivalently, the difference between the diabatic and adiabatic CT energies. As we will discuss later, we are in the current work in the weak coupling regime, which means that the desired elements can be taken as the approximate energy difference Eq. 27 and we need not consider the GS explicitly.
We would like to point out here that the CT energies so computed using the subsystem formalism have the correct long-range behaviour, which the approximate functionals employed in conventional supramolecular TDDFT often fail to describe properly. The energy of a charge separated donor and acceptor in the subsystem formalism can be written as,
31 |
where the , are the diabatic energies of the two ionized states and is the interaction energy between the two charged species given by,
32 |
At very long range, where there is zero overlap between and , the non-additive terms drop out, while the other terms yield the correct limit: , where R is the distance between A and B (Solovyeva et al. 2014).
For the short-range or strong-coupling limit, we could in principle use Eq. 26 and include the GS explicitly in the calculation, but such an approach would require careful testing of the validity of the employed density functional approximation in this limit.
Calculation of block
Having discussed the diagonal blocks of , we now turn our attention to the coupling of the CT and LE states given by the block. The most rigorous approach would be to consider the broken-symmetry KS determinants of the preceeding section, as well as the full expansion of the TDA-TDDFT wave function, thereby accounting for the fact that these are constructed from different subsystem orbital sets and are not necessarily orthogonal. Here, we will introduce a simple approach using second quantization for non-orthogonal orbitals in order to calculate the necessary couplings. The approach described here represents a generalized form of the Fragment Orbital DFT (FODFT) approach previously proposed by Senthilkumar et al. (2003, 2005) for calculating charge transfer integrals for non-orthogonal orbitals and used later by Hernández-Fernández et al. (2016) for calculating electronic couplings for hole transfer in stacked porphyrin dyads.
In this approach we approximate the full interaction Hamiltonian by the fixed Kohn–Sham (KS) Hamiltonian matrix representation obtained in a supermolecular calculation. This Hamiltonian is diagonal in its eigenbasis of supermolecular orbitals and can be expressed in second quantization as:
33 |
where are the supermolecular orbital energies.
We then define a normal ordered Hamiltonian with the supermolecular ground state determinant as the reference vaccum,
34 |
35 |
where we have redefined the usual creation/annihilation operators (/a) in Eq. 34 in terms of hole/particle operators (/b) in Eq. 35 where the indices i, a denote the supermolecular occupied and virtual orbitals. We then construct a set of unpolarized reference fragment orbitals obtained from two independent fragment calculations of A and B which constitutes the above defined reference (supermolecular) vacuum (valid for weakly interacting fragments). Assuming that the excited states can be effectively described by single-particle excitation in this basis and that these underlying set of reference orbitals do not change, the LE state and CT state in the hole/particle formalism can be written as,
and,
respectively. The Greek indices , denote occupied orbitals on fragment A and , denote virtual orbitals on fragment A and B, respectively. The coupling between these two states is then given as (see SI for the complete derivation),
36 |
where the elements of and are defined as,
37 |
38 |
where , and denote general orbitals of the supermolecule (A + B), fragment A and fragment B, respectively. Since we consider CT1 to occur from only the highest occupied molecular orbital of a fragment A () to the lowest unoccupied orbital of fragment B (), for the two LE states on fragment A, namely ( ) and (), the coupling in Eq. 36 can be written out as,
39 |
40 |
where and denote the HOMO-1 and LUMO on fragment A, respectively.
Similarly, the coupling between the states and is given as,
41 |
Given that CT2 occurs only from the highest occupied molecular orbital of a fragment B () to the lowest unoccupied orbital of another fragment A (), the coupling with the two LE states on fragment A becomes,
42 |
43 |
Equations 39, 40 and 42, 43 along with the corresponding coupling terms for the LE states on fragment B (see SI, not shown here) form the eight unique couplings in which we recognize the contributions of hole as well as electron transfer, which are, respectively, governed by the overlap between the occupied and the virtual orbitals of the individual fragments.
Note that, in the above calculation of the couplings, we assumed the LE states ( and ) to be pure states (i.e. composed of a single single orbital transition), thereby making their calculation fairly straightforward, obtained readily from a ground state Kohn–Sham calculation of . In practice however, the LE states are composed of multiple single orbital transitions (see Eq. 19), in which case a more complete description of the couplings can be obtained either by a subsystem approach (Difley and Van Voorhis 2011) or by diabatization techniques (Voityuk and Rösch 2002; Yang and Hsu 2013; Hsu et al. 2008; Nottoli et al. 2018; Tölle et al. 2020). For the present purpose of the work, the above approximation is considered to be sufficient for a qualitative assessment.
A summary of the above approximations introduced in the context of the different methods and the structure of the matrix and used in Eq. 10 are shown in Table 1 and Fig. 3, respectively.
Table 1.
Blocks | Equations | Description/References | |
---|---|---|---|
(Eq. 21) | ; FDEu-TDDFT; Refs. Neugebauer (2007), König et al. (2013) | ||
(Eq. 22) | FDEc-TDA; Ref. König et al. (2013) | ||
(Eq. 27) | ; FDE-ET; Refs. Pavanello and Neugebauer (2011), Pavanello et al. (2013), Solovyeva et al. (2014), Ramos et al. (2015) | ||
(Eq. 36) |
Generalized FODFT; Refs. Senthilkumar et al. (2003, 2005); see SI for remaining couplings | ||
(Eq. 41) |
Effect of a polarizable environment on , and blocks
So far, we only consider the chromophores themselves, and not the effect of the surrounding protein matrix. This can be accounted for by means of an additional embedding potential, for which we selected the Discrete Reaction Field (DRF) model. The effect of a polarizable environment is in the DRF model accounted for in a molecular mechanics (MM) way via atomic point charges and static polarizabilities with a potential, , given by Jensen et al. (2003a)
44 |
where the first term is the electrostatic operator and describes the Coulomb interaction between the QM system and the permanent charge distribution of the MM environment. The second term, , describes the induced polarization at the MM atoms due to interaction with the QM part and other MM atoms. These two terms are given by
45 |
with
46 |
where the interaction tensor to a given order, n, is given by . is the distance between the interacting entities, is a component of the distance vector and is the induced dipole at site s. The induced dipoles depend on the QM density and are updated during the self-consistent field cycles used to solve the QM part.
The DRF model has also been extended to the calculation of excited states in the linear response formalism of TDDFT where, an additional explicit response of the MM region DRF potential is accounted for in the kernel resulting from the response in the induced dipole upon change in the QM charge distribution. Similar to the calculation of the induced dipoles using the ground state density, in the excited state formalism it utilises the transition density for the calculation of the induced dipoles. It is defined by Jensen et al. (2003b) as
47 |
where is the induced dipole at site s due to the perturbation in the density and is the corresponding interaction tensor. In all our subsequent calculations we restrict ourselves to the adiabatic local density approximation (ALDA) of the kernel, so the dependence on is dropped from the above equations. In the presence of a DRF environment, the total effective Hamiltonian can be written as,
48 |
where is our block diagonal electronic Hamiltonian in the absence of the environment defined above, and is the Hamiltonian describing the perturbation on each of the blocks of due to the DRF environment. In the following section, we note the nature of perturbation of on the blocks of the matrix
Effect on block In the calculation of the matrix elements of the block , the effect of the environment is accounted for in two steps—(1) As an additional potential term, , given by Eq. 44 in the calculation of the ground state subsystem orbitals via Eq. 15 and (2) In the calculation of the diagonal (LE energies) and off-diagonal (LE couplings) matrix elements in Eq. 22 via the linear response of in Eq. 47.
Effect on block The effect of the environment is explicitly accounted for in the calculation of the set of subsystem orbitals for the individual fragments, i.e. A(), B(), and (), () or (), () in the relevant diabatic states belonging to either the reactant or the product state via given by Eq. 44 and entering the ground state Kohn–Sham calculation in Eq. 15. It therefore affects the CT energy (i.e. the diagonal elements of this block) and the electronic coupling with the ground state through Eqs. 25 and 26.
Effect on block The effect of the environment is taken into account in the ground state Kohn–Sham Hamiltonian , , in Eq. 33 of the combined system of as well in the calculation of the reference fragment molecular orbitals of A and B via , given in Eq. 44.
Computational details
All calculations have been carried out with the Amsterdam Density Functional (ADF) program (Baerends et al. 2018; Te Velde et al. 2001) using the double-zeta polarised (DZP) basis set and the range-separated CAMY-B3LYP exchange and correlation (XC) functional. The CAMY-B3LYP XC functional is implemented with the XCFun library (Ekström et al. 2010, https://dftlibs.org/xcfun/) and is a modified version of the original CAM-B3LYP (Yanai et al. 2004) with a different switching function. The performance of this functional in conjunction with the basis set for the calculation of the Q band energies has shown reasonable agreements before (López-Tarifa et al. 2017) with Milne et al. (2015) and hence was used consistently throughout this work. For the Frozen Density Embedding (FDE) calculations, the GGA functional BLYP (Becke 1988; Lee et al. 1988) and PW91k (Lembarki and Chermette 1994) were used for the non-additive exchange-correlation and kinetic energy part of the embedding potential through out this work. For the calculation of the elements of block, the Time-Dependent DFT (TDDFT) extension of the Frozen Density Embedding (FDE) scheme in the linear response regime (Neugebauer 2007; König et al. 2013) as implemented in ADF was used to calculate two lowest excitation ( and ) for each of the chromophores, Chla611 and Chla612. In order to include the polarization effects, 3 freeze-and-thaw cycles were performed for each of the chromophores. The coupling between the local excitations was then subsequently calculated using the Tamm–Dancoff approximation in the FDEc formalism (König et al. 2013) as mentioned before. For the calculation of the diagonal elements of the block, i.e. the CT energies, separate unrestricted calculations in the FDE framework were performed for each of the chromophores in the neutral ground state and the charge-separated state to generate a total of 4 unrestricted fragments. Three freeze-and-thaw cycles were performed for each of the fragment in order to introduce polarization effects. For the inter-subsystem contributions,we used the BLYP (Becke 1988; Lee et al. 1988) XC functional to evaluate Eqs. 29 and 30. A schematic overview of the workflow is shown in Fig. 4. The elements of the block were calculated using a recently developed stand-alone code Reduction of Orbital Space Extent (ROSE), specifically designed for localization of molecular orbitals. Senjean et al. (2021) The environment was modelled in the DRF framework as mentioned earlier, with Mulliken charges obtained from a Self-Consistent Charge Density Functional Tight Binding approach (Elstner et al. 1998) (SCC-DFTB) with third order corrections, using the parameter set 3ob-3-1 (Lu et al. 2015) as implemented within the AMS (Rüger et al. 2018) engine of ADF. The atomic polarizabilities were taken from the standard Thole’s set of atomic polarizabilities (Thole 1981; Van Duijnen and Swart 1998) as given inside ADF. [In addition, for the Magnesium and Phosporous atom, polarizability values were taken from Ref. Stout and Dykstra (1995) and Lupinetti and Thakkar (2005), respectively]. All the elements of the matrix were calculated on a total of 103 frames with 51 in the first set and 52 in the last set separated by 400 ps in each window, from the classical trajectory [labelled as trajectory “A” in the original nomenclature by Ligouri et al in reference (Liguori et al. 2015)] computed using GROMACS Molecular Dynamics package (Van Der Spoel et al. 2005). Such a separation of the frames was motivated by the conformational changes observed in the particular selected trajectory between Chla612 and Chla611 towards the end of the simulation in reference (Liguori et al. 2015). The input geometric structure from each frame of the trajectory for the QM calculations was prepared in two steps. First, we use the visualization program VMD (Humphrey et al. 1996) to visualize and select chromophores Chla612 and Chla611 and the neighbouring residues (protein, chromophores and lipids) within a distance of 7 Å from each of the chromophore porphyrin rings in the first and last set of snapshots of the trajectory and save the coordinates for the resulting snapshots. In the second step, we process each of the frames using the RDKit (http://www.rdkit.org) library, wherein the DRF environment is separated from the QM region consisting of Chla612 and Chla611, followed by the addition of all the missing hydrogens, correction of the bond order of the porphyrin ring of the two chlorophylls and removal of the phytol chains of the chlorophylls in order to reduce the computational cost [removal of the phytol chain have been shown previously to not significantly affect the site energy calculations (López-Tarifa et al. 2017)]. Thereafter, we calculate all the elements of the in three different sets of calculations for each frame, for the , and blocks, respectively, as mentioned above. The generation of the input geometries and the corresponding preparation of inputs for the subsequent ADF calculation were done in a fully automatised way using the Python Library PLAMS (Handzlik et al. 2018) as interfaced with ADF. As a final note, we would to mention that the numerical costs are dominated by the (not well optimized) calculation of the block which takes 17 h of the 20 h in total needed per snapshot on one node (with 128 cores) of the Dutch supercomputer Snellius.
Results and discussion
The supramolecular picture
Förster resonance energy transfer (FRET) (Förster 1948) and Marcus electron transfer (ET) (Marcus and Sutin 1985) processes are both usually described in terms of local and non-local diabatic states. This is straightforward in subsystem DFT, but also in supermolecular TDDFT with approximate exchange-correlation functionals, the resulting adiabatic states can sometimes still be interpreted in a diabatic picture. This is especially so if the local Frenkel (LE) type excitons and the charge-separated (CT) states are energetically well separated. This identification is difficult, however, when low-lying CT states, occurring either as an artefact of the method itself or otherwise, start to mix with these local excitations. In a previous work (Sen et al. 2021) on the Chla611–Chla612 dimer, we studied such a mixing of the CT states upon decreasing the distance between the two chlorophylls from 9 to 5 Å. In that work we used a supermolecular approach but quantified the amount of mixing in terms of a charge transfer number (Plasser and Lischka 2012) which indicated a sharp increase of LE–CT mixing upon decreasing the interchromophoric distance. However, due to the delocalized nature of the Highest Occupied and Lowest Unoccupied Molecular Orbitals (HOMO and LUMO) for that conformer, a clear interpretation in terms of diabatic LE and CT states remained elusive. In this work we provide such an interpretation and construct the individual matrix elements of to get a better picture of the couplings and energetics of these diabatic states. In the next section, we focus on the individual matrix elements of for selected snapshots of the MD trajectory spanning the beginning (sampled by first set of snapshots) of the simulation where the Chla611 and Chla612 chromophores are still far apart as well as the end of the simulation (sampled by last set of snapshots) where they are relatively close.
The diabatic picture
Local excitation (LE) and charge transfer (CT) energies
In Fig. 5 we show the four relevant (, , , and ) local excitation energies of the two chlorophylls (Chla612 and Chla611) along with two lowest CT state energies, CT1 () and CT2 (), which represent the diagonal elements of the blocks and of the diabatic matrix respresentation (Fig. 3).
To quantify these values we also list the averaged LE and CT energies in Table 2. As can be seen from Fig. 5 and Table 2, the LE energies are minimally effected (the lowest is red-shifted by 0.02 eV) by the changed orientation and reduction of dimer distance in the chromophore pair. These energies are also relatively robust with respect to the smaller geometry fluctuations occuring between different snapshots with a variance of only 0.001 eV. The CT (CT1 and CT2) energies on the other hand show both a much larger fluctuation between snapshots and a clear decrease in energy going from the more distant geometries in the first set of snapshots to the close arrangement in the last set. The fluctuations of the CT energies are not unexpected as CT states have substantially larger reorganization energies than the local excitations as the Franck–Condon point is further away from the minimum than is the case for LE states. Looking closer at the overall trend for these CT energies we note the drop in energies of both of the CT states that we anticipated from the earlier supermolecular analysis. We see in Fig. 5 both the CT energies coming down and even crossing the line at some points. In addition we observe that the relative gap between the two CT states decreases from an average of of 0.51 to only 0.07 eV. The latter observation can be explained by the asymmetric orientation and thereby polarization (as represented by the DRF embedding potentials) for CT1 and CT2 in the beginning of the trajectory. In the final part of the studied trajectory the arrangement of the chromophores is more symmetrical and the polarization in the CT states is more similar, thereby bringing the energies of these two CT states closer together. Still, with the absence of an exact symmetry, the two CT states are not fully equivalent also in this stage.
Table 2.
First50 | Last50 | CRYS | |||
---|---|---|---|---|---|
2.02 | 0.001 | 2.03 | 0.001 | 2.07 | |
2.01 | 0.001 | 1.99 | 0.001 | 2.02 | |
2.27 | 0.001 | 2.28 | 0.001 | 2.36 | |
2.26 | 0.002 | 2.21 | 0.002 | 2.34 | |
CT1 | 2.77 | 0.008 | 2.59 | 0.009 | 2.83 |
CT2 | 3.28 | 0.011 | 2.52 | 0.012 | 3.28 |
The values for the geometry in the crystal are shown in the last column. All units are in eV
From Eq. 31, the CT1 and CT2 energies, not only depend on the absolute energies of the charge localized fragments (i.e. and ) but also on their interaction energies . The latter, negative, contribution to the CT energy is the driving force for the lowering of the CT energy towards the end of the trajectory. This enhances the mixing of the CT states with the local states and makes switching to an adiabatic picture by either diagonalizing the diabatic matrix representation or by using supermolecular TDDFT necessary. In the first part of the trajectory, the adiabatic (black) curves align well with the diabatic LE states, with only for the CT states that are hard to describe by density functional approximations significant deviations visible. For the structures from the final part of the trajectory, also the lowest supermolecular state is clearly below the lowest diabatic LE state, corroborating the influence of CT states in lowering this energy.
Effect of the environment on LE and CT energies In order to assess the effect of the protein environment on the LE and CT energies we repeated the calculation of LE and CT energies of the dimer in vacuum. Figure 6 shows the effect of the environment on the diabatic states in the beginning and at the end of the trajectory. The average site energies and the CT energies with and without the environment are shown in Table S1 in the supplementary information. We note that: (i) all the averaged site energies are red-shifted by the environment, both in the beginning and at the end of the trajectory, with the exception of the and which remain unaltered in the beginning of the trajectory. (ii) The CT energies are most strongly influenced in the beginning of the trajectory, with both the CT energies shifted by the environment in opposite directions (CT1 red-shifted and CT2 blue-shifted) thereby increasing the average gap between them. This effect can be explained by the asymmetric distribution of partial charges in the immediate proximity of both the chlorophylls (in particular the DPPG ligand near Chla611) in the beginning of the trajectory that we already mentioned in the preceding section. Towards the end of the trajectory, on the other hand, the stacked and symmetric arrangement of the chlorophylls with a reduced interchromophore distance, renders the two charge-separated states less sensitive to external perturbations. Looking at the magnitude of the environment shifts we conclude that overall the environment plays a minor role in determining the energies of the LE and CT states.
Coupling between the diabatic states
We now consider the couplings between the diabatic states (off-diagonal elements of , see Fig. 3) that determine the final adiabatic picture. The off-diagonal elements in the LE block represent the predominantly Coulomb-like coupling between the local excitations which are responsible for Förster resonant energy transfer (Förster 1948), whereas the elements in the LE/CT block represent the overlap-dependent couplings between the local and CT states, which play an equally important role in Marcus electron transfer theory (Marcus and Sutin 1985). We note that these LE/CT couplings can describe both electron transfer between the fragment LUMOs (one coupling element), as well as hole transfer involving the two sets of HOMO and HOMO-1 located on each fragment (three possibilities), excluding transfer between the two HOMO-1 orbitals that is of minor importance). Table 3 and Figure 7 show the values of all the relevant LE/LE and LE/CT coupling elements: between the two LE states (), the two LE states (), and between these and the two possible CT states CT1 and CT2, as discussed in the previous sections: ,, , (and , , ), where A and B are Chla611 and Chla612, respectively. Note that the coupling (and ) is negligible owing to the mutual orthogonality of the HOMO and HOMO-1 for each of the fragments A and B (see Eq. 40) and is not shown.
Table 3.
First50 | Last50 | CRYS | |||
---|---|---|---|---|---|
0.021 | 6.2 × | 0.029 | 3.1 × | 0.026 | |
0.009 | 2.8 × | 0.017 | 1.6 × | 0.005 | |
0.009 | 4.3 × | 0.014 | 1.2 × | 0.005 | |
0.019 | 1.8 × | 0.054 | 1.6 × | 0.019 | |
0.017 | 2.2 × | 0.062 | 2.0 × | 0.015 | |
0.019 | 1.9 × | 0.055 | 1.6 × | 0.020 | |
0.009 | 4.5 × | 0.014 | 1.2 × | 0.007 | |
0.015 | 9.1 × | 0.128 | 3.4 × | 0.014 |
The values for the geometry in the crystal are shown in the last column. All units are in eV. See text for notations
From Fig. 7 the much smaller variation for the LE/LE coupling compared to the LE/CT coupling stands out. The variation of the LE/LE coupling with the interchromophore distance R can be qualitatively described by an interacting dipole model (Liguori et al. 2015; López-Tarifa et al. 2017) and exhibits a (dipole–dipole) dependence. This can be contrasted to the exponential dependence on this distance that is applicable for the LE/CT coupling (Cave and Newton 1996). Both couplings are enhanced in the final part of the studied trajectory in which interchromophoric distances are much smaller than that in the initial frames.
Effect of environment on the couplings The environmental effect on the LE/LE and the LE/CT couplings are shown in Fig. 8 as differences in the absolute couplings. Table S2 of the supplementary information also lists the averaged couplings in vacuum and in DRF environment. In case of non-orthogonal orbitals, the LE/CT couplings are not only determined by the different overlap terms, but also by the supramolecular KS orbital energies (see section on calculation of block). The variations of these LE/CT couplings upon inclusion of the environment are a direct consequence of the effect of the environment on both of these quantities. A further detailed analysis of this effect is beyond the scope of this current work. For the LE/LE couplings we see both for the , and , a more significant effect than seen previously for their energies. The increase in coupling upon including the environment effects (so relative to a vacuum treatment) can be explained by the increase of the magnitude of the transition dipole moments of all the local excitations. (, and , ; see Fig. S1 in supplementary information). This explicit treatment of the environment makes it possible to avoid the often applied scaling of transition dipole moment to achieve better agreement with experimental data. As such scaling does not provide additional insights we do not apply this in the present work. We note that our results here are in reasonable agreement with the recent works of Sláma et al. (2020) with minor differences arising from the different levels of theory and MD simulations used in both works. For comparison of the LE/LE couplings using the FDEc-TDA approach for the lowest bands to other methods, we refer to López-Tarifa et al. (2017) as well as earlier work (Scholes et al. 1999; Frähmcke and Walla 2006; Madjet et al. 2006; Kenny and Kassal 2016; Müh et al. 2010; Chmeliov et al. 2015; Duffy et al. 2013) on treating these couplings in the most efficient way.
The adiabatic picture
With the energy gap between the LE and the CT states decreased and their coupling increased at shorter distances (the last part of the trajectory), we expect to see an increased mixing between the CT states with the LE states. It had been shown previously from a disordered averaged exciton model, that such coupling of CT states to LE states can strongly modulate the optical spectra (Cupellini et al. 2018). Such a pronounced effect of the mixing of the CT states with the LE states at the end of the trajectory can indeed be seen when switching to the adiabatic picture. Solving for the generalized eigen value problem (Eq. 9) in the basis of the six diabatic states ( and CT2) for the first and last set frames of the trajectory, shows an average red-shift of about 0.02 eV of the lowest state. This state acquires clear mixed LE/CT character towards the end of the trajectory which is in qualitative agreement with the earlier supermolecular analysis. This indicates that the composite manner of constructing the matrix that is to diagonalized is adequate. To compare better with the supermolecular picture we show both the new set of adiabatic states as well as the six lowest supermolecular excitations in Fig. 9. Like already seen in the diabatic picture (Fig. 5), where there is little interaction between the CT states and the local states, the lowest lying adiabatic states follow closely to those of the supramolecular states and retain their local character. The two highest lying adiabatic and supramolecular states on the other hand, represent states which are predominantly CT in character, and get significantly different energies in the two approaches. The supermolecular ones are hereby likely to be to low in energy due to flaws in the treatment of CT states with the available density functional approximations where the adiabatized states of the current approach could be too high due to missing couplings with states at higher energies.
Nonetheless, this study provides a qualitative assessment of the importance of accounting for CT states and electron delocalization when studying the energy landscape of pigment-protein complexes, particularly in the case of strongly interacting pigments. Furthermore, it shows how pigment re-organizations following protein conformational changes can greatly affect the spectral properties. This spectral tunability is fundamental for LHCs to be able to switch between different functional states. Moreover, an improved knowledge of the nature of these dimer excitations in different orientations can provide hints to understand the effects of artificial modifications of the Chla611–Chla612 binding pocket on the overall absorption spectrum of the complex.
Conclusion
In this work, we looked into changes in energies of the low-lying states of the chlorophyll dimer Chla611–Chla612 induced by a conformational change of the dimer in the highly disordered terminal emitter domain reported previously (Liguori et al. 2015). In order to get a better insight into these states, we elucidate the effect of this conformational change on the LE and CT state energies of the dimer along with their corresponding couplings using subsystem DFT calculations on snapshots from a s MD simulation generated previously. Subsystem DFT provides an alternate localized diabatic approach as compared to the delocalized picture arising from supramolecular DFT, providing an unambiguous identification of the local and CT states. We find that the re-orientation of Chla611–Chla612 dimer upon equilibration brings down the energies of the Chl–Chl CT states, causing an increase in the mixing of the CT and LE states (which remain almost unaffected), accompanied by an increased coupling between them. This, in combination with an increase in the coupling between the local states themselves, facilitated by an reduced interchromophoric distance, gives rise to red-shifted low-lying mixed excitonic/CT states. Previous studies have shown that such mixing of low-lying charge transfer states with the band can be operative in the the Chla band (Romero et al. 2009; Ramanan et al. 2017; Novoderezhkin et al. 2016; Chmeliov et al. 2016) and are indicative of the so-called ‘red-emitting states’ in the fluorescence spectra as observed in aggregates, supported by femtosecond Transient Absorption(TA) kinetics and Stark spectroscopy studies (Kell et al. 2014; Krüger et al. 2010; Müller et al. 2010). Moreover, Chl–Chl CT states have also been shown to play an important role in regulating energy flow through antenna complexes and create energy sinks in the reaction centers (RC) of photosynthetic complexes (Madjet et al. 2009; Raszewski et al. 2008; Novoderezhkin et al. 2005, 2007). Our study therefore provides further evidence that low-lying CT states, prompted by a favourable conformational change of the chlorophyll dimer, can play an pivotal role in regulating light harvesting and can create energy sinks facilitated by an increased excitonic interaction.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
The authors would like to thank Dr. Nicoletta Liguori for providing the structures from the MD trajectories and Prof. Roberta Croce for valuable discussions. Support by the Netherlands Organisation for Scientific Research (NWO) via the CSER programme as well as for supporting the use of supercomputer facilities is acknowledged.
Data availability
The data from this work are available upon reasonable request.
Declarations
Competing interests
The authors have no relevant financial or non-financial interests to disclose
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Souloke Sen and Lucas Visscher have contributed equally to this work.
Contributor Information
Souloke Sen, Email: sen.souloke@gmail.com.
Lucas Visscher, Email: l.visscher@vu.nl.
References
- Ahn TK, Avenson TJ, Ballottari M, Cheng Y-C, Niyogi KK, Bassi R, Fleming GR. Architecture of a charge-transfer state regulating light harvesting in a plant antenna protein. Science. 2008;320(5877):794–797. doi: 10.1126/science.1154800. [DOI] [PubMed] [Google Scholar]
- Andreussi O, Prandi IG, Campetella M, Prampolini G, Mennucci B. Classical force fields tailored for QM applications: is it really a feasible strategy? J Chem Theory Comput. 2017;13(10):4636–4648. doi: 10.1021/acs.jctc.7b00777. [DOI] [PubMed] [Google Scholar]
- Baerends EJ, Ziegler T, Atkins AJ, Autschbach J, Baseggio O, Bashford D, Bérces A, Bickelhaupt FM, Bo C, Boerrigter PM, Cavallo L, Daul C, Chong DP, Chulhai DV, Deng L, Dickson RM, Dieterich JM, Ellis DE, van Faassen M, Fan L, Fischer TH, Förster A, Guerra CF, Franchini M, Ghysels A, Giammona A, van Gisbergen SJA, Goez A, Götz AW, Groeneveld JA, Gritsenko OV, Grüning M, Gusarov S, Harris FE, van den Hoek P, Hu Z, Jacob CR, Jacobsen H, Jensen L, Joubert L, Kaminski JW, van Kessel G, König C, Kootstra F, Kovalenko A, Krykunov MV, van Lenthe E, McCormack DA, Michalak A, Mitoraj M, Morton SM, Neugebauer J, Nicu VP, Noodleman L, Osinga VP, Patchkovskii S, Pavanello M, Peeples CA, Philipsen PHT, Post D, Pye CC, Ramanantoanina H, Ramos P, Ravenek W, Reimann M, Rodríguez JI, Ros P, Rüger R, Schipper PRT, Schlüns D, van Schoot H, Schreckenbach G, Seldenthuis JS, Seth M, Snijders JG, Solà M, Stener M, Swart M, Swerhone D, Tognetti V, te Velde G, Vernooijs P, Versluis L, Visscher L, Visser O, Wang F, Wesolowski TA, van Wezenbeek EM, Wiesenekker G, Wolff SK, Woo TK, Yakovlev AL (2018) ADF2018, SCM, theoretical chemistry. Vrije Universiteit, Amsterdam. https://www.scm.com
- Balevičius V, Fox KF, Bricker WP, Jurinovich S, Prandi IG, Mennucci B, Duffy CD. Fine control of chlorophyll-carotenoid interactions defines the functionality of light-harvesting proteins in plants. Sci Rep. 2017;7(1):1–10. doi: 10.1038/s41598-017-13720-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Becke AD. Density-functional exchange-energy approximation with correct asymptotic behavior. Phys Rev A. 1988;38(6):3098. doi: 10.1103/PhysRevA.38.3098. [DOI] [PubMed] [Google Scholar]
- Bode S, Quentmeier CC, Liao P-N, Hafi N, Barros T, Wilk L, Bittner F, Walla PJ. On the regulation of photosynthesis by excitonic interactions between carotenoids and chlorophylls. Proc Natl Acad Sci USA. 2009;106(30):12311–12316. doi: 10.1073/pnas.0903536106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Born M, Oppenheimer R. Zur quantentheorie der molekeln. Annalen der physik. 1927;389(20):457–484. doi: 10.1002/andp.19273892002. [DOI] [Google Scholar]
- Casida ME. Response theory for molecules. Recent Adv Density Funct Methods. 1995;1:155. doi: 10.1142/9789812830586_0005. [DOI] [Google Scholar]
- Casida ME, Wesołowski TA. Generalization of the Kohn–Sham equations with constrained electron density formalism and its time-dependent response theory formulation. Int J Quantum Chem. 2004;96(6):577–588. doi: 10.1002/qua.10744. [DOI] [Google Scholar]
- Cave RJ, Newton MD. Generalization of the Mulliken-Hush treatment for the calculation of electron transfer matrix elements. Chem Phys Lett. 1996;249(1–2):15–19. doi: 10.1016/0009-2614(95)01310-5. [DOI] [Google Scholar]
- Chmeliov J, Bricker WP, Lo C, Jouin E, Valkunas L, Ruban AV, Duffy CD. An ‘all pigment’ model of excitation quenching in LHCII. Phys Chem Chem Phys. 2015;17(24):15857–15867. doi: 10.1039/C5CP01905B. [DOI] [PubMed] [Google Scholar]
- Chmeliov J, Gelzinis A, Songaila E, Augulis R, Duffy CD, Ruban AV, Valkunas L. The nature of self-regulation in photosynthetic light-harvesting antenna. Nat Plants. 2016;2(5):1–7. doi: 10.1038/nplants.2016.45. [DOI] [PubMed] [Google Scholar]
- Cupellini L, Caprasecca S, Guido CA, Muh F, Renger T, Mennucci B. Coupling to charge transfer states is the key to modulate the optical bands for efficient light harvesting in purple bacteria. J Phys Chem Lett. 2018;9(23):6892–6899. doi: 10.1021/acs.jpclett.8b03233. [DOI] [PubMed] [Google Scholar]
- Cupellini L, Calvani D, Jacquemin D, Mennucci B. Charge transfer from the carotenoid can quench chlorophyll excitation in antenna complexes of plants. Nat Commun. 2020;11(1):1–8. doi: 10.1038/s41467-020-14488-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cupellini L, Bondanza M, Nottoli M, Mennucci B (2020b) Successes & challenges in the atomistic modeling of light-harvesting and its photoregulation. Biochim Biophys Acta (BBA) 1861(4):148049 [DOI] [PubMed]
- Curutchet C, Mennucci B. Quantum chemical studies of light harvesting. Chem Rev. 2017;117(2):294–343. doi: 10.1021/acs.chemrev.5b00700. [DOI] [PubMed] [Google Scholar]
- Difley S, Van Voorhis T. Exciton/charge-transfer electronic couplings in organic semiconductors. J Chem Theory Comput. 2011;7(3):594–601. doi: 10.1021/ct100508y. [DOI] [PubMed] [Google Scholar]
- Duffy C, Chmeliov J, Macernis M, Sulskus J, Valkunas L, Ruban A. Modeling of fluorescence quenching by lutein in the plant light-harvesting complex LHCII. J Phys Chem B. 2013;117(38):10974–10986. doi: 10.1021/jp3110997. [DOI] [PubMed] [Google Scholar]
- Ekström U, Visscher L, Bast R, Thorvaldsen AJ, Ruud K. Arbitrary-order density functional response theory from automatic differentiation. J Chem Theory Comput. 2010;6(7):1971–1980. doi: 10.1021/ct100117s. [DOI] [PubMed] [Google Scholar]
- Elstner M, Porezag D, Jungnickel G, Elsner J, Haugk M, Frauenheim T, Suhai S, Seifert G. Self-consistent-charge density-functional tight-binding method for simulations of complex materials properties. Phys Rev B. 1998;58(11):7260. doi: 10.1103/PhysRevB.58.7260. [DOI] [Google Scholar]
- Förster T. Zwischenmolekulare energiewanderung und fluoreszenz. Annalen der physik. 1948;437(1–2):55–75. doi: 10.1002/andp.19484370105. [DOI] [Google Scholar]
- Frähmcke JS, Walla PJ. Coulombic couplings between pigments in the major light-harvesting complex LHC II calculated by the transition density cube method. Chem Phys Lett. 2006;430(4–6):397–403. doi: 10.1016/j.cplett.2006.09.009. [DOI] [Google Scholar]
- Gritsenko O. On the principal difference between the exact and approximate frozen-density embedding theory. In: Wesolowski TA, Wang YA, editors. Recent Progress in Orbital-free Density Functional Theory. Singapore: World Scientific; 2013. pp. 355–368. [Google Scholar]
- Te Velde G, Bickelhaupt FM, Baerends EJ, Fonseca Guerra C, van Gisbergen SJ, Snijders JG, Ziegler T. Chemistry with ADF. J Comput Chem. 2001;22(9):931–967. doi: 10.1002/jcc.1056. [DOI] [Google Scholar]
- Handzlik M, van Beek B, Melix P, Rüger R, Trnka T, Ridder L, Zapata F (2018) PLAMS 2018, SCM, theoretical chemistry. Vrije Universiteit, Amsterdam. https://www.scm.com, https://github.com/SCM-NV/PLAMS
- Hernández-Fernández F, Pavanello M, Visscher L. Effect of metallation, substituents and inter/intra-molecular polarization on electronic couplings for hole transport in stacked porphyrin dyads. Phys Chem Chem Phys. 2016;18(31):21122–21132. doi: 10.1039/C6CP00516K. [DOI] [PubMed] [Google Scholar]
- Hsu C-P, You Z-Q, Chen H-C. Characterization of the short-range couplings in excitation energy transfer. J Phys Chem C. 2008;112(4):1204–1212. doi: 10.1021/jp076512i. [DOI] [Google Scholar]
- Humphrey W, Dalke A, Schulten K. VMD: visual molecular dynamics. J Mol Graph. 1996;14(1):33–38. doi: 10.1016/0263-7855(96)00018-5. [DOI] [PubMed] [Google Scholar]
- Jacob CR, Neugebauer J. Subsystem density-functional theory. Wiley Interdiscip Rev Comput Mol Sci. 2014;4(4):325–362. doi: 10.1002/wcms.1175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jacob CR, Neugebauer J, Jensen L, Visscher L. Comparison of frozen-density embedding and discrete reaction field solvent models for molecular properties. Phys Chem Chem Phys. 2006;8(20):2349–2359. doi: 10.1039/b601997h. [DOI] [PubMed] [Google Scholar]
- Jensen L, Van Duijnen PT, Snijders JG. A discrete solvent reaction field model within density functional theory. J Chem Phys. 2003;118(2):514–521. doi: 10.1063/1.1527010. [DOI] [Google Scholar]
- Jensen L, Van Duijnen PT, Snijders JG. A discrete solvent reaction field model for calculating molecular linear response properties in solution. J Chem Phys. 2003;119(7):3800–3809. doi: 10.1063/1.1590643. [DOI] [Google Scholar]
- Jurinovich S, Viani L, Curutchet C, Mennucci B. Limits and potentials of quantum chemical methods in modelling photosynthetic antennae. Phys Chem Chem Phys. 2015;17(46):30783–30792. doi: 10.1039/C5CP00986C. [DOI] [PubMed] [Google Scholar]
- Kell A, Feng X, Lin C, Yang Y, Li J, Reus M, Holzwarth AR, Jankowiak R. Charge-transfer character of the low-energy Chl a Qy absorption band in aggregated light harvesting complexes II. J Phys Chem B. 2014;118(23):6086–6091. doi: 10.1021/jp501735p. [DOI] [PubMed] [Google Scholar]
- Kenny EP, Kassal I. Benchmarking calculations of excitonic couplings between bacteriochlorophylls. J Phys Chem B. 2016;120(1):25–32. doi: 10.1021/acs.jpcb.5b08817. [DOI] [PubMed] [Google Scholar]
- Khokhlov D, Belov A. Ab initio model for the chlorophyll-lutein exciton coupling in the LHCII complex. Biophys Chem. 2019;246:16–24. doi: 10.1016/j.bpc.2019.01.001. [DOI] [PubMed] [Google Scholar]
- König C, Schlüter N, Neugebauer J (2013) Direct determination of exciton couplings from subsystem time-dependent density-functional theory within the Tamm–Dancoff approximation. J Chem Phys 138(3):034104 [DOI] [PubMed]
- Krüger TP, Novoderezhkin VI, Ilioaia C, Van Grondelle R. Fluorescence spectral dynamics of single LHCII trimers. Biophys J. 2010;98(12):3093–3101. doi: 10.1016/j.bpj.2010.03.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Krüger TP, Ilioaia C, Johnson MP, Ruban AV, Van Grondelle R (2014) Disentangling the low-energy states of the major light-harvesting complex of plants and their role in photoprotection. Biochim Biophys Acta (BBA) 1837(7):1027–1038 [DOI] [PubMed]
- Lapillo M, Cignoni E, Cupellini L, Mennucci B (2020) The energy transfer model of nonphotochemical quenching: lessons from the minor CP29 antenna complex of plants. Biochim Biophys Acta (BBA) 1861(11):148282 [DOI] [PubMed]
- Lee C, Yang W, Parr RG (1988) Results obtained with the correlation energy density functionals. Phys Rev B Condens Matter Mater Phys 37:785 [DOI] [PubMed]
- Lembarki A, Chermette H. Obtaining a gradient-corrected kinetic-energy functional from the Perdew-Wang exchange functional. Phys Rev A. 1994;50(6):5328. doi: 10.1103/PhysRevA.50.5328. [DOI] [PubMed] [Google Scholar]
- Liguori N, Roy LM, Opacic M, Durand G, Croce R. Regulation of light harvesting in the green alga cChlamydomonas reinhardtii: the C-terminus of LHCSR is the knob of a dimmer switch. J Am Chem Soc. 2013;135(49):18339–18342. doi: 10.1021/ja4107463. [DOI] [PubMed] [Google Scholar]
- Liguori N, Periole X, Marrink SJ, Croce R. From light-harvesting to photoprotection: structural basis of the dynamic switch of the major antenna complex of plants (LHCII) Scientific reports. 2015;5:15661. doi: 10.1038/srep15661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu Z, Yan H, Wang K, Kuang T, Zhang J, Gui L, An X, Chang W (2004) Crystal structure of spinach major light-harvesting complex at 2.72 Å resolution. Nature 428(6980):287–292 [DOI] [PubMed]
- López-Tarifa P, Liguori N, van den Heuvel N, Croce R, Visscher L. Coulomb couplings in solubilised light harvesting complex II (LHCII): challenging the ideal dipole approximation from tddft calculations. Phys Chem Chem Phys. 2017;19(28):18311–18320. doi: 10.1039/C7CP03284F. [DOI] [PubMed] [Google Scholar]
- Lu X, Gaus M, Elstner M, Cui Q. Parametrization of DFTB3/3OB for magnesium and zinc for chemical and biological applications. J Phys Chem B. 2015;119(3):1062–1082. doi: 10.1021/jp506557r. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lupinetti C, Thakkar AJ. Polarizabilities and hyperpolarizabilities for the atoms Al, Si, P, S, Cl, and Ar: coupled cluster calculations. J Chem Phys. 2005;122(4):044301. doi: 10.1063/1.1834512. [DOI] [PubMed] [Google Scholar]
- Madjet M, Abdurahman A, Renger T. Intermolecular coulomb couplings from ab initio electrostatic potentials: application to optical transitions of strongly coupled pigments in photosynthetic antennae and reaction centers. J Phys Chem B. 2006;110(34):17268–17281. doi: 10.1021/jp0615398. [DOI] [PubMed] [Google Scholar]
- Madjet ME-A, Mu F, Renger T (2009) Deciphering the influence of short-range electronic couplings on optical properties of molecular dimers: application to special pairs in photosynthesis. J Phys Chem B 113(37):12603–12614 [DOI] [PubMed]
- Maity S, Gelessus A, Daskalakis V, Kleinekathöfer U. On a chlorophyll-caroteinoid coupling in LHCII. Chem Phys. 2019;526:110439. doi: 10.1016/j.chemphys.2019.110439. [DOI] [Google Scholar]
- Marcus RA, Sutin N (1985) Electron transfers in chemistry and biology. Biochim Biophys Acta (BBA) 811(3):265–322
- Mascoli V, Liguori N, Xu P, Roy LM, van Stokkum IH, Croce R. Capturing the quenching mechanism of light-harvesting complexes of plants by zooming in on the ensemble. Chem. 2019;5(11):2900–2912. doi: 10.1016/j.chempr.2019.08.002. [DOI] [Google Scholar]
- Migliore A. Full-electron calculation of effective electronic couplings and excitation energies of charge transfer states: application to hole transfer in DNA -stacks. J Chem Phys. 2009;131(11):09–618. doi: 10.1063/1.3232007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Migliore A. Nonorthogonality problem and effective electronic coupling calculation: application to charge transfer in -stacks relevant to biochemistry and molecular electronics. J Chem Theory Comput. 2011;7(6):1712–1725. doi: 10.1021/ct200192d. [DOI] [PubMed] [Google Scholar]
- Milne BF, Toker Y, Rubio A, Nielsen SB. Unraveling the intrinsic color of chlorophyll. Angew Chem Int Ed. 2015;54(7):2170–2173. doi: 10.1002/anie.201410899. [DOI] [PubMed] [Google Scholar]
- Miloslavina Y, Wehner A, Lambrev PH, Wientjes E, Reus M, Garab G, Croce R, Holzwarth AR. Far-red fluorescence: a direct spectroscopic marker for LHCII oligomer formation in non-photochemical quenching. FEBS Lett. 2008;582(25–26):3625–3631. doi: 10.1016/j.febslet.2008.09.044. [DOI] [PubMed] [Google Scholar]
- Mozzo M, Passarini F, Bassi R, van Amerongen H, Croce R (2008) Photoprotection in higher plants: the putative quenching site is conserved in all outer light-harvesting complexes of photosystem II. Biochim Biophys Acta (BBA) 1777(10):1263–1267 [DOI] [PubMed]
- Müh F, Madjet ME-A, Renger T. Structure-based identification of energy sinks in plant light-harvesting complex II. J Phys Chem B. 2010;114(42):13517–13535. doi: 10.1021/jp106323e. [DOI] [PubMed] [Google Scholar]
- Müller MG, Lambrev P, Reus M, Wientjes E, Croce R, Holzwarth AR. Singlet energy dissipation in the photosystem II light-harvesting complex does not involve energy transfer to carotenoids. ChemPhysChem. 2010;11(6):1289–1296. doi: 10.1002/cphc.200900852. [DOI] [PubMed] [Google Scholar]
- Neugebauer J. Couplings between electronic transitions in a subsystem formulation of time-dependent density functional theory. J Chem Phys. 2007;126(13):134116. doi: 10.1063/1.2713754. [DOI] [PubMed] [Google Scholar]
- Neugebauer J. Photophysical properties of natural light-harvesting complexes studied by subsystem density functional theory. J Phys Chem B. 2008;112(7):2207–2217. doi: 10.1021/jp709956k. [DOI] [PubMed] [Google Scholar]
- Neugebauer J. Chromophore-specific theoretical spectroscopy: from subsystem density functional theory to mode-specific vibrational spectroscopy. Phys Rep. 2010;489(1–3):1–87. doi: 10.1016/j.physrep.2009.12.001. [DOI] [Google Scholar]
- Nottoli M, Jurinovich S, Cupellini L, Gardiner AT, Cogdell R, Mennucci B. The role of charge-transfer states in the spectral tuning of antenna complexes of purple bacteria. Photosynth Res. 2018;137(2):215–226. doi: 10.1007/s11120-018-0492-1. [DOI] [PubMed] [Google Scholar]
- Novoderezhkin VI, Andrizhiyevskaya EG, Dekker JP, van Grondelle R. Pathways and timescales of primary charge separation in the photosystem II reaction center as revealed by a simultaneous fit of time-resolved fluorescence and transient absorption. Biophys J. 2005;89(3):1464–1481. doi: 10.1529/biophysj.105.060020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Novoderezhkin VI, Dekker JP, Van Grondelle R. Mixing of exciton and charge-transfer states in photosystem II reaction centers: modeling of stark spectra with modified redfield theory. Biophys J. 2007;93(4):1293–1311. doi: 10.1529/biophysj.106.096867. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Novoderezhkin VI, Croce R, Wahadoszamen M, Polukhina I, Romero E, van Grondelle R. Mixing of exciton and charge-transfer states in light-harvesting complex LHCA4. Phys Chem Chem Phys. 2016;18(28):19368–19377. doi: 10.1039/C6CP02225A. [DOI] [PubMed] [Google Scholar]
- Pascal AA, Liu Z, Broess K, van Oort B, van Amerongen H, Wang C, Horton P, Robert B, Chang W, Ruban A. Molecular basis of photoprotection and control of photosynthetic light-harvesting. Nature. 2005;436(7047):134–137. doi: 10.1038/nature03795. [DOI] [PubMed] [Google Scholar]
- Pavanello M, Neugebauer J. Modelling charge transfer reactions with the frozen density embedding formalism. J Chem Phys. 2011;135(23):234103. doi: 10.1063/1.3666005. [DOI] [PubMed] [Google Scholar]
- Pavanello M, Van Voorhis T, Visscher L, Neugebauer J. An accurate and linear-scaling method for calculating charge-transfer excitation energies and diabatic couplings. J Chem Phys. 2013;138(5):054101. doi: 10.1063/1.4789418. [DOI] [PubMed] [Google Scholar]
- Plasser F, Lischka H. Analysis of excitonic and charge transfer interactions from quantum chemical calculations. J Chem Theory Comput. 2012;8:2777. doi: 10.1021/ct300307c. [DOI] [PubMed] [Google Scholar]
- Ramanan C, Ferretti M, van Roon H, Novoderezhkin VI, van Grondelle R. Evidence for coherent mixing of excited and charge-transfer states in the major plant light-harvesting antenna, LHCII. Phys Chem Chem Phys. 2017;19(34):22877–22886. doi: 10.1039/C7CP03038J. [DOI] [PubMed] [Google Scholar]
- Ramos P, Papadakis M, Pavanello M. Performance of frozen density embedding for modeling hole transfer reactions. J Phys Chem B. 2015;119(24):7541–7557. doi: 10.1021/jp511275e. [DOI] [PubMed] [Google Scholar]
- Raszewski G, Diner BA, Schlodder E, Renger T. Spectroscopic properties of reaction center pigments in photosystem II core complexes: revision of the multimer model. Biophys J. 2008;95(1):105–119. doi: 10.1529/biophysj.107.123935. [DOI] [PMC free article] [PubMed] [Google Scholar]
- RDKit: open-source cheminformatics. http://www.rdkit.org. Accessed Nov 2020
- Romero E, Mozzo M, Van Stokkum IH, Dekker JP, Van Grondelle R, Croce R. The origin of the low-energy form of photosystem I light-harvesting complex LHCA4: mixing of the lowest exciton with a charge-transfer state. Biophys J. 2009;96(5):35–37. doi: 10.1016/j.bpj.2008.11.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ruban AV, Berera R, Ilioaia C, Van Stokkum IH, Kennis JT, Pascal AA, Van Amerongen H, Robert B, Horton P, Van Grondelle R. Identification of a mechanism of photoprotective energy dissipation in higher plants. Nature. 2007;450(7169):575–578. doi: 10.1038/nature06262. [DOI] [PubMed] [Google Scholar]
- Ruban AV, Johnson MP, Duffy CD (2012) The photoprotective molecular switch in the photosystem II antenna. Biochim Biophys Acta (BBA) 1817(1):167–181 [DOI] [PubMed]
- Rüger R, Yakovlev AL, Philipsen P, Borini S, Melix P, Oliveira AF, Franchini M, van Vuren T, Soini T, de Reus M, Ghorbani Asl M, Teodoro TQ, McCormack D, Patchkovskii S, Heine T (2018) AMS DFTB2018, SCM, theoretical chemistry. Vrije Universiteit, Amsterdam. https://www.scm.com
- Runge E, Gross EK. Density-functional theory for time-dependent systems. Phys Rev Lett. 1984;52(12):997. doi: 10.1103/PhysRevLett.52.997. [DOI] [Google Scholar]
- Scholes GD, Gould IR, Cogdell RJ, Fleming GR (1999) Ab initio molecular orbital calculations of electronic couplings in the LH2 bacterial light-harvesting complex of Rps. acidophila. J Phys Chem B 103(13):2543–2553
- Scholz L, Tölle J, Neugebauer J (2020) Analysis of environment response effects on excitation energies within subsystem-based time-dependent density-functional theory. Int J Quantum Chem 120(21):e26213
- Segatta F, Cupellini L, Garavelli M, Mennucci B. Quantum chemical modeling of the photoinduced activity of multichromophoric biosystems: focus review. Chem Rev. 2019;119(16):9361–9380. doi: 10.1021/acs.chemrev.9b00135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sen S, Mascoli V, Liguori N, Croce R, Visscher L. Understanding the relation between structural and spectral properties of light-harvesting complex II. J Phys Chem A. 2021;125(20):4313–4322. doi: 10.1021/acs.jpca.1c01467. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Senjean B, Sen S, Repisky M, Knizia G, Visscher L. Generalization of intrinsic orbitals to Kramers-paired quaternion spinors, molecular fragments, and valence virtual spinors. J Chem Theory Comput. 2021;17(3):1337–1354. doi: 10.1021/acs.jctc.0c00964. [DOI] [PubMed] [Google Scholar]
- Senthilkumar K, Grozema F, Bickelhaupt F, Siebbeles L. Charge transport in columnar stacked triphenylenes: effects of conformational fluctuations on charge transfer integrals and site energies. J Chem Phys. 2003;119(18):9809–9817. doi: 10.1063/1.1615476. [DOI] [Google Scholar]
- Senthilkumar K, Grozema FC, Guerra CF, Bickelhaupt FM, Lewis FD, Berlin YA, Ratner MA, Siebbeles LD. Absolute rates of hole transfer in DNA. J Am Chem Soc. 2005;127(42):14894–14903. doi: 10.1021/ja054257e. [DOI] [PubMed] [Google Scholar]
- Sláma V, Cupellini L, Mennucci B. Exciton properties and optical spectra of light harvesting complex ii from a fully atomistic description. Phys Chem Chem Phys. 2020;22(29):16783–16795. doi: 10.1039/D0CP02492A. [DOI] [PubMed] [Google Scholar]
- Solovyeva A, Pavanello M, Neugebauer J. Describing long-range charge-separation processes with subsystem density-functional theory. J Chem Phys. 2014;140(16):164103. doi: 10.1063/1.4871301. [DOI] [PubMed] [Google Scholar]
- Stout JM, Dykstra CE. Static polarizabilities of the magnesium atom. J Mol Struct THEOCHEM. 1995;332(3):189–196. doi: 10.1016/0166-1280(94)03958-N. [DOI] [Google Scholar]
- Su X, Ma J, Wei X, Cao P, Zhu D, Chang W, Liu Z, Zhang X, Li M. Structure and assembly mechanism of plant C2S2M2-type PSII-LHCII supercomplex. Science. 2017;357(6353):815–820. doi: 10.1126/science.aan0327. [DOI] [PubMed] [Google Scholar]
- Thole BT. Molecular polarizabilities calculated with a modified dipole interaction. Chem Phys. 1981;59(3):341–350. doi: 10.1016/0301-0104(81)85176-2. [DOI] [Google Scholar]
- Tölle J, Neugebauer J. The seamless connection of local and collective excited states in subsystem time-dependent density functional theory. J Phys Chem Lett. 2022;13:1003–1018. doi: 10.1021/acs.jpclett.1c04023. [DOI] [PubMed] [Google Scholar]
- Tölle J, Böckers M, Niemeyer N, Neugebauer J. Inter-subsystem charge-transfer excitations in exact subsystem time-dependent density-functional theory. J Chem Phys. 2019;151(17):174109. doi: 10.1063/1.5121908. [DOI] [PubMed] [Google Scholar]
- Tölle J, Böckers M, Neugebauer J. Exact subsystem time-dependent density-functional theory. J Chem Phys. 2019;150(18):181101. doi: 10.1063/1.5097124. [DOI] [PubMed] [Google Scholar]
- Tölle J, Cupellini L, Mennucci B, Neugebauer J. Electronic couplings for photo-induced processes from subsystem time-dependent density-functional theory: the role of the diabatization. J Chem Phys. 2020;153(18):184113. doi: 10.1063/5.0022677. [DOI] [PubMed] [Google Scholar]
- Van Der Spoel D, Lindahl E, Hess B, Groenhof G, Mark AE, Berendsen HJ. GROMACS: fast, flexible, and free. J Comput Chem. 2005;26(16):1701–1718. doi: 10.1002/jcc.20291. [DOI] [PubMed] [Google Scholar]
- Van Duijnen PT, Swart M. Molecular and atomic polarizabilities: Thole’s model revisited. J Phys Chem A. 1998;102(14):2399–2407. doi: 10.1021/jp980221f. [DOI] [Google Scholar]
- Voityuk AA, Rösch N. Fragment charge difference method for estimating donor-acceptor electronic coupling: application to DNA -stacks. J Chem Phys. 2002;117(12):5607–5616. doi: 10.1063/1.1502255. [DOI] [Google Scholar]
- Wahadoszamen M, Margalit I, Ara AM, Van Grondelle R, Noy D. The role of charge-transfer states in energy transfer and dissipation within natural and artificial bacteriochlorophyll proteins. Nat Commun. 2014;5(1):1–8. doi: 10.1038/ncomms6287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wei X, Su X, Cao P, Liu X, Chang W, Li M, Zhang X, Liu Z (2016) Structure of spinach photosystem II–LHCII supercomplex at 3.2 Å resolution. Nature 534(7605):69–74 [DOI] [PubMed]
- Wesolowski TA, Warshel A. Frozen density functional approach for ab initio calculations of solvated molecules. J Phys Chem. 1993;97(30):8050–8053. doi: 10.1021/j100132a040. [DOI] [Google Scholar]
- Wesolowski T, Weber J. Kohn–Sham equations with constrained electron density: an iterative evaluation of the ground-state electron density of interacting molecules. Chem Phys Lett. 1996;248(1–2):71–76. doi: 10.1016/0009-2614(95)01281-8. [DOI] [Google Scholar]
- Wesolowski TA, Chermette H, Weber J. Accuracy of approximate kinetic energy functionals in the model of Kohn–Sham equations with constrained electron density: The fh–nch complex as a test case. J Chem Phys. 1996;105(20):9182–9190. doi: 10.1063/1.472823. [DOI] [Google Scholar]
- Wesolowski TA, Shedge S, Zhou X. Frozen-density embedding strategy for multilevel simulations of electronic structure. Chem Rev. 2015;115(12):5891–5928. doi: 10.1021/cr500502v. [DOI] [PubMed] [Google Scholar]
- XCFun: a library of DFT exchange-correlation (XC) functionals. https://dftlibs.org/xcfun/
- Yanai T, Tew DP, Handy NC. A new hybrid exchange-correlation functional using the Coulomb-attenuating method (CAM-B3LYP) Chem Phys Lett. 2004;393(1–3):51–57. doi: 10.1016/j.cplett.2004.06.011. [DOI] [Google Scholar]
- Yang C-H, Hsu C-P. A multi-state fragment charge difference approach for diabatic states in electron transfer: extension and automation. J Chem Phys. 2013;139(15):154104. doi: 10.1063/1.4824906. [DOI] [PubMed] [Google Scholar]
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The data from this work are available upon reasonable request.