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Biophysical Reviews logoLink to Biophysical Reviews
. 2023 Sep 29;15(5):1185–1194. doi: 10.1007/s12551-023-01153-7

SARS-CoV-2 proteins structural studies using synchrotron radiation

Maksim Kosenko 1,, Galina Onkhonova 1, Ivan Susloparov 1, Alexander Ryzhikov 1
PMCID: PMC10643813  PMID: 37974992

Abstract

In the process of the development of structural biology, both the size and the complexity of the determined macromolecular structures have grown significantly. As a result, the range of application areas for the results of structural studies of biological macromolecules has expanded. Significant progress in the development of structural biology methods has been largely achieved through the use of synchrotron radiation. Modern sources of synchrotron radiation allow to conduct high-performance structural studies with high temporal and spatial resolution. Thus, modern techniques make it possible to obtain not only static structures, but also to study dynamic processes, which play a key role in understanding biological mechanisms. One of the key directions in the development of structural research is the drug design based on the structures of biomolecules. Synchrotron radiation offers insights into the three-dimensional time-resolved structure of individual viral proteins and their complexes at atomic resolution. The rapid and accurate determination of protein structures is crucial for understanding viral pathogenicity and designing targeted therapeutics. Through the application of experimental techniques, including X-ray crystallography and small-angle X-ray scattering (SAXS), it is possible to elucidate the structural details of SARS-CoV-2 virion containing 4 structural, 16 nonstructural proteins (nsp), and several accessory proteins. The most studied potential targets for vaccines and drugs are the structural spike (S) protein, which is responsible for entering the host cell, as well as nonstructural proteins essential for replication and transcription, such as main protease (Mpro), papain-like protease (PLpro), and RNA-dependent RNA polymerase (RdRp). This article provides a brief overview of structural analysis techniques, with focus on synchrotron radiation-based methods applied to the analysis of SARS-CoV-2 proteins.

Keywords: Protein structure, SARS-CoV-2 proteins, Synchrotron radiation, X-ray crystallography, Three-dimensional structure

Introduction

Research in the field of structural biology provides results of high significance and is directly related to human health problems. One of the key directions in the development of structural research is the design of drugs based on the structures of biomolecules. The development of new drugs such as human immunodeficiency virus (HIV) protease inhibitors (Weber et al. 2021) and influenza neuraminidase inhibitors (Mahal et al. 2021) is a direct consequence of structural biology research. This trend is expected to continue and become increasingly important in the fight against many re-emerging viral and microbial pathogens that threaten human population.

The structural information obtained from various techniques helps researchers understand the function of different proteins within virus and can provide insights into potential drug targets. SARS-CoV-2 virions are predominantly spherical or ellipsoidal in shape with an average shell diameter of 108 ± 8 nm (Hardenbrook and Zhang 2022). SARS-CoV-2 consists of four main structural proteins, spike glycoprotein (S), envelope glycoprotein (E), membrane glycoprotein (M), and nucleocapsid protein (N), and 16 nonstructural and 9 accessory proteins (Gorkhali et al. 2021) (Fig. 1).

Fig. 1.

Fig. 1

SARS-CoV-2 virion structure and genome organization. Abbreviations: ORF is open reading frame; bp is base pair. a A schematic representation of the virion structure: spike, membrane, and envelope proteins incorporated into viral envelope and nucleoprotein-encapsulated RNA. b The genome organization. c Structure of PL.pro (nsp3) with inhibitor GRL0617 (PDB ID 7CMD (Gao et al. 2021)). d Structure of non-liganded Mpro (PDB ID 6Y2E (Zhang et al. 2020)). e Structure of RdRp complex composed of nsp12, nsp7, and nsp8 (PDB ID 6YYT (Hillen et al. 2020)). f Structure of prefusion S protein with one receptor-binding domain (RBD) up (PDB ID 6VSB (Wrapp et al. 2020)). g N protein monomer structure (PDB ID 8FD5 (Casasanta et al. 2023)). Modified under CC BY 4.0 from Jamison et al. (2022)

Some of these proteins are being actively explored as potential targets for the development of therapeutic agents and vaccines (Table 1).

Table 1.

Most promising targets for vaccine and drug development

Protein name Function PDB ID
S protein Mediates the virus entry into host cells by recognition and binding to the ACE2 receptor (Martínez-Flores et al. (2021); Almehdi et al. (2021)) 7ODL, 7R1B, 7V7D, 7UB0, 7TOU, 7V7A, 7LYN, 7KDJ
N protein Responsible for organizing the viral genome by encapsulating the viral RNA (Bai et al. (2021)) 6VYO, 6WKP, 6YUN, 7C22, 7XWX, 7SUE
Mpro (nsp5) Responsible for the cleavage and release of most nonstructural proteins, accelerates their maturation (Hu et al. (2022)) 6Y2E, 6Y2F, 6M2N, 7L0D, 6M2Q, 7JKV, 7JPY, 7JPZ
PLpro (nsp3) Involved in replication and transcription, maturation of other viral proteins, modulation of host immune response (Osipiuk et al. (2021)) 6YWL, 6WEY, 7CZ4, 7CJD, 7LLZ, 7LOS, 7CMD, 7JIW
RdRp (nsp12) In combination with cofactors nsp7 and nsp8, essential for viral RNA synthesis (Peng et al. (2020)) 7BW4, 6M71, 6M71, 7BTF, 7BV1, 7BW4

Knowledge of this proteins’ structures makes it possible to localize functionally significant sites, in relation to which the search for substances capable of blocking the function of the protein is subsequently carried out. There are several common approaches for determining the structures of proteins:

  • Cryo-electron microscopy (Cryo-EM). Cryo-EM is an experimental technique that captures high-resolution 3D structures of proteins. This method allows obtaining non-crystalline structures of macromolecules and their complexes with high resolution (Ye et al. 2022; Shi et al. 2023).

  • Nuclear magnetic resonance (NMR) spectroscopy. NMR spectroscopy is another method for obtaining protein structures both in solid state and in solution, as well as conformational and interactional dynamics (Hu et al. 2021). There are NMR approaches for intracellular research (Sugiki et al. 2020; Theillet and Luchinat 2022).

  • X-ray crystallography. X-ray crystallography is used to determine the structures of molecules in the crystalline state with the highest resolution achieved up to 0.48 Å to date (Schmidt et al. 2011). Modern X-ray sources and methods of macromolecular crystallography make it possible to conduct time-resolved studies at physiologically significant temperatures (Pearson and Mehrabi 2020).

  • Small-angle X-ray scattering (SAXS). SAXS is a widely used method for structural studies of proteins, which provides information on macromolecular forms, conformation, packing, aggregation, state, and dynamics of macromolecules in solution (Kursula 2021).

Along with experimental techniques for protein structure determination, computational prediction methods are widely used, such as:

  • Homology modeling. This approach relies on known protein structures as templates to predict the structure of a target protein with a similar sequence. It works well when there is a close evolutionary relationship between the target and template proteins (Hameduh et al. 2020). Several tools like SWISS-MODEL and MODELLER can be used for homology modeling (Dong et al. 2020; Wierbowski et al. 2021).

  • Ab initio (de novo) modeling. In this method, the protein structure is predicted without relying on known templates. It uses physical principles and energy minimization algorithms (Yousef et al. 2019). Examples of ab initio modeling tools include Rosetta and I-TASSER (Rodríguez et al. 2009; Bhowmick et al. 2022).

  • Machine learning-based modeling. This technique is based on the use of machine learning algorithms, primarily deep learning, and known protein structures to predict the structures of target proteins (Jumper et al. 2021; Baek and Baker 2022). Examples of such systems are AlphaFold2 and RoseTTAFold. The emergence of this approach, especially AlphaFold2, which is able to predict the structure of proteins with atomic precision, has a significant impact on research in structural biology and bioinformatics (Pereira et al. 2021; Gomes et al. 2022; Kilim et al. 2023; Yang et al. 2023).

Despite recent advances in the prediction of protein structures, the role of experimental data is still significant due to several factors. Computational methods primarily predict a single structure for a single sequence, while the structural distribution corresponding to a variety of possible conformations is of considerable interest (Yuan et al. 2015; Kim and Porter 2021; Lane 2023). There are also a number of questions related to the structure of disordered regions, macromolecular complexes, post-translational modifications of proteins, etc. (Muhammed and Aki-Yalcin 2019; Buel and Walters 2022; Gomes et al. 2022; Akdel et al. 2022). In addition, modern high-precision predictive methods currently cannot provide a deeper understanding of the protein folding process (Outeiral et al. 2022). Computational and experimental techniques complement each other, which has led to the development of hybrid approaches to the determination of protein structures (Webb et al. 2018; Robertson et al. 2019; Seffernick and Lindert 2020; Terwilliger et al. 2022).

The most widely used among the listed experimental methods is X-ray crystallography. More than 85% known structures in the protein data bank (PDB) were obtained by this method, over 80% of them using synchrotron radiation (Berman 2000). With the use of frozen crystals, crystallographic studies of large multicomponent complexes have become almost routine. The development of X-ray crystallography and SAXS is closely related to synchrotron radiation (SR).

SR is electromagnetic radiation emitted by accelerating electrons moving at speeds close to the speed of light. SR has a high brightness, a wide continuous spectrum, a narrow directivity, and a high degree of coherence and polarization. The use of undulators and wigglers makes it possible to increase the spectral power of the radiation by several orders of magnitude and make it more energetic, to obtain monochromatic radiation, and also to change the polarization characteristics. SR also makes it possible to obtain ultrashort high-power pulses.

The development of synchrotrons began in the 1950s with the appearance of first-generation facilities for high-energy physics research, with synchrotron radiation occurred only as an accompanying phenomenon. The first facilities dedicated to generating synchrotron radiation appeared in the early 1980s (Baumgärtel 1981; Munro 1997). The long way of development has resulted in more than 50 synchrotron radiation sources operating and under construction, including several fourth-generation facilities such as ESRF-EBS in Grenoble, France, and Sirius in São Paulo, Brazil. Another one 4 + generation synchrotron radiation facility “Siberian Circular Photon Source” (SRF SCPS) is currently under construction in Russia (Bukhtiyarov et al. 2022). Synchrotron sources have made it possible to implement projects that represent complex biophysical research (Sanchez-Cano et al. 2021).

X-ray crystallography

The method is based on the interaction of X-ray radiation with the electrons of sample atoms. Due to the fact that X-ray photons weakly interact with atoms, radiation penetrates deep into the sample under study in the absence of significant multiple scattering (Als-Nielsen and McMorrow 2011). X-ray radiation, which interact with the electrons of atoms in a crystal, is scattered into discrete diffraction spots named reflections. Diffraction spots are the result of interference of beams of incoherent SR incident on the crystal, diffracted on different planes of the crystal. In the case of coherent SR, which is the case in free-electron lasers, there is no need to work with crystals (Miyashita and Joti 2017; Bielecki et al. 2020). In the process of obtaining diffraction data, only the positions of the reflections and the intensity corresponding to the squared amplitude of the scattered waves are directly measured. The positions of the reflections in the diffraction pattern correspond to discrete scattering angles that satisfy the Laue conditions and the Bragg law and reflect the structure of the crystal lattice. The intensities and phases of reflections are related to the structural factor F(hkl), where h, k, and l are the indices of the reflecting plane. The structural factor is the Fourier transform of electron density. Therefore, the electron density can be defined as a summation over all positions (hkl) in reciprocal space:

ρxyz=1Vhkl|Fhkl|e-2πihx+ky+lz+iα(hkl) 1

where ρ(xyz) is the electron density at position (xyz) in the unit cell, V is the crystal unit cell volume, |F(hkl)| is the structure factor amplitude, and α(hkl) in the exponent determines the phase of the diffracting wave. On the other hand, the total intensity I(hkl) measured by the detector, on condition that the crystal rotates with the angular velocity ω in the reflection position, has the form

Ihkl=λ3ωV2×(e2mc2)2×Vcr×I0×L×P×Tr×|Fhkl|2 2

In addition to |F(hkl)|2, the complete intensity equation contains terms associated with the scattering by the electrons themselves, with the wavelength of incident radiation λ, with the total crystal volume Vcr, and with the volume V of the crystal unit cell. I0 is the intensity of incident radiation; I is the integral intensity measured by detector; e and m are the charge and mass of the electron, respectively; c is the speed of light; L is the Lorentz coefficient, depending on the data acquisition technique; the polarization factor P is related to the features of scattering by electrons, which leads to a change in polarization; and Tr is the transmittance coefficient, which is related to the absorption of radiation passing through the sample.

In this case, to calculate the electron density using Eqs. (1) and (2), it is necessary to solve the phase problem: due to the fact that the phase cannot be directly measured experimentally, it must be restored from the available data. If there is a homologous structure in the protein data bank, the most common molecular replacement (MR) method can be used (McCoy 2007; Dodson 2021) including the developing MR approach using in silico models (McCoy et al. 2022; Medina et al. 2022). If no homologous structures are available, additional experimental methods are used. The methods could include single isomorphous replacement (SIR) (Foos et al. 2022) or multiple isomorphous replacement (MIR) (Lawrence et al. 2020), in which diffraction data is collected from a natural crystal as well as a number of derivatives containing heavy atoms. Single-wavelength anomalous dispersion (SAD) (Koelmel et al. 2021; Mou et al. 2022) or multiple-wavelength anomalous dispersion (MAD) (Hendrickson and Ogata 1997; Truong et al. 2021) methods are also widely used, based on wavelength-dependent differences in the contribution of anomalous scattering of certain crystal atoms. In the absence of both homologous structures and additional experimental data, ab initio methods (Morgan et al. 2019; Arnal and Millane 2022; Kingston and Millane 2022) based on the use of natural mathematical conditions can be used. Based on the obtained diffraction pattern and the reconstructed phase, the electron density map of an individual crystal lattice cell can be calculated. The electron density map is used to fit atoms and build a model of the studied molecule. To assess the resulting structure, resolution, the factors R, Rfree, real space R-value (RSR), RSR Z-score (RSRZ), clashscore, and some other values are used (Wang 2015; Gore et al. 2017; Shabalin et al. 2018). R factor shows the model’s ability to explain the experimental data that was used to build the model, and Rfree factor attributes the data that were not used. RSR is a measure of the similarity of the electron density map calculated from the crystallographic model with the electron density map calculated from experimental data. RSRZ allows to determine the proportion of residues that are incompatible with the local electron density. The clashscore is the number of pairs of model atoms that are located too close to each other, normalized per 1000 pairs.

Many proteins retain functional activity in their crystalline state (Schlichting and Goody 1997), and macromolecular crystallography offers opportunity to study them in a variety of media and conditions. At modern synchrotron stations, data acquisition times does not exceed several seconds at crystal rotation speeds greater than 90°s−1, and the frame rate of the diffraction image reaches more than 100 Hz (Cohen 2021). Collection, control, and processing of data occur automatically, which allows to conduct research in a streaming mode. Moreover, today structural research goes beyond the solution of individual static structures. The series of structural images are used to obtain detailed information about the positions and motion of atoms, which determine not only the static positions of atoms, but also the dynamics of studied processes.

Modern X-ray sources and methods of macromolecular crystallography are also used to study structures at physiologically significant temperatures. A significant step in this direction has been the development of multicrystalline strategies (Pearce et al. 2017; Nam 2020), which represent an alternative approach to cryopreservation to overcome the limitations of radiation damage. This approach, originally applied using X-ray free-electron lasers, is based on the fact that a short X-ray pulse creates a stationary diffraction image before significant radiation-induced changes occur inside the crystal (de la Mora et al. 2020; Zhu et al. 2020; Barends et al. 2022). Due to the fact that in this case the crystal is destroyed by irradiation, a number of samples must be exposed in a process called serial crystallography to obtain a complete dataset (Nam 2022). This technology has made it possible to enhance the structural information available from small radiation-sensitive crystals and enable rapid measurements with high temporal resolution at room temperature. Later, this approach also found application in the field of synchrotron macromolecular research. By distributing the X-ray dose over many crystals, the use of serial crystallography techniques at the synchrotron allows structural studies of smaller crystals, including studies of the dynamics of irreversible reactions (Martiel et al. 2019). Data analysis uses approaches originally developed for X-ray free-electron laser experiments (Kirian et al. 2011; Mehrabi et al. 2021). Time-resolved synchrotron macromolecular crystallography makes it possible to obtain structures with atomic resolution with microsecond time resolution using monochromatic X-rays or subnanosecond resolution using polychromatic PinkBeam (Martin-Garcia 2021). PinkBeam is operating mode with a relative spread of photon energy ΔE/E ≈ 5 × 10–2, with a flux about 100 times greater than that of a monochromatic beam (Meents et al. 2017; Fischer 2021; Kim and Nam 2022). Time-resolved crystallographic studies of macromolecules at room temperature make it possible to visualize functionally significant details and alternative conformations changed by cryopreservation. Maintaining the conformational flexibility at room temperature allows greater access to the ligand binding pockets, providing additional information for studying interactions (Russi et al. 2017; Yun et al. 2018).

X-ray crystallography combined with biophysical, virological, computational, and other methods has found wide application both in large screening studies of the search for potential inhibitors of viral infections and in studies of their mechanisms of action. Zhang et al. (2020) were the first to obtain the X-ray structure of non-liganded SARS-CoV-2 Mpro and its complex with the α-ketoamide inhibitor, which showed promising pharmacokinetic results, and it was proposed as the basis for the development of pyridone-containing inhibitors of anticoronavirus drugs. Another of the early large-scale studies on Mpro was the work of Jin et al. (2020), in which the crystal structure of Mpro was obtained in combination with the Michael acceptor inhibitor (Ekici et al. 2004) N3, which previously showed activity against coronaviruses. A comparative analysis with the Mpros of other known coronaviruses showed a high conservation of the substrate-binding pocket, which led to the conclusion that inhibitors targeting this pocket have a wide spectrum of action against coronaviruses. Subsequently, new putative Mpro inhibitors were developed based on this structure using quantum mechanics/molecular mechanics (QM/MM) simulations (Arafet et al. 2021). Compounds based on boceprevir, telaprevir, and α-acyloxymethylketone and others that can inhibit Mpro with nanomolar IC50 have been developed (Fu et al. 2020; Mody et al. 2021; Baker et al. 2021; Bai et al. 2022). Gold compounds, which not only inhibit SARS-CoV-2 replication by binding to the Mpro catalytic domain, but also suppress the expression of inflammatory cytokines, have also been shown to be a promising therapeutic agents (He et al. 2022). At the same time, detailed studies of the structure of Mpro and the study of the mechanisms that can affect the protein suggest the possibility of mutations that can potentially lead to drug resistance (Lee et al. 2022a). It has also been shown that Mpro structures obtained at room temperature may be physiologically more significant than those obtained by cryocrystallography (Kneller et al. 2020). Along with Mpro, the SARS-CoV-2 S protein is of great interest, because it is responsible for the entrance of the virus into the host cell and plays a key role in transmission from natural hosts to humans. In a study by Shang et al. (2020), researchers determined the crystal structure of the RBD S1 subunit of the S protein in complex with human ACE2, a comparative analysis of which with SARS-CoV RBD showed the structural features of the RBD of the new coronavirus responsible for increasing its affinity for ACE2. In addition, it has been shown that ACE2 may also be a receptor for the bat coronavirus RaTG13 protein, suggesting the possibility of transmission of the virus directly from bats, without an intermediate host, the pangolin, as previously suggested (Lam et al. 2020). Because the S protein is a key target for vaccines and therapeutic antibodies, their effectiveness has decreased against newly emerging variants, especially Omicron subvariants, which contain an unusually large number of mutations in the S protein (Ou et al. 2022; Chakraborty et al. 2022). As a result, there is a need to study the mechanisms of resistance to existing antibodies and the search for conservative protective epitopes of the S protein. One of these epitopes was 3-2A2-4, identified by analyzing the structure of the RBD complex with immunized alpaca nanobodies (Li et al. 2022). Also, based on the crystal structure of the RBD complex of the triple mutant B.1.351 with the P2C-1F11 antibody, the basis of the mechanism of antibody neutralization and escape was proposed (Wang et al. 2021). Many similar studies investigated all key coronavirus proteins involved in the recognition, entry, replication, and exit of the virus (Ionescu 2020; Aatif et al. 2021; Newman et al. 2021; Lee et al. 2022b; Sanders et al. 2022; Ma et al. 2022; Guo et al. 2022; Avelar et al. 2023). In total, more than 3000 structures of SARS-CoV-2 proteins and their associated complexes available in the PDB have been released, with more than 60% of them obtained by X-Ray diffraction (Berman 2000).

Small-angle X-ray scattering

Another widely used method for structural studies of proteins, often in combination with X-ray crystallography, is small-angle x-ray scattering (SAXS), which provides information on macromolecular forms, conformation, packing, aggregation, state, and dynamics of macromolecules in solution, which in turn largely determine the functional properties of proteins. Although SAXS has a much lower resolution (Putnam et al. 2007; Da Vela and Svergun 2020) than X-ray crystallography, it is a powerful tool for the analysis of intrinsically disordered proteins (Gräwert and Svergun 2020). These two methods combined provide enough information to obtain accurate structures for the studying of the mechanisms of the functioning of macromolecules. SAXS is a technique based on the detection of X-rays scattered by electrons of the studied sample. The range of scattering angles, which is the most informative in biological studies, ranges from 0.03° to 5° at a distance of about 1.5 m from the sample (Brosey and Tainer 2019). Azimuthal integration of the recorded intensity at each value of momentum transfer, correction for scattering in the buffer, and extrapolation to infinity dilution gives a one-dimensional X-ray scattering profile averaged over the ensemble. Further, application of using the mathematical apparatus based to the nature of the obtained scattering curve allows to extract the information about the structure and dynamics, sample quality, conformational flexibility, particle size, and density. Examples of such information are the degree of structural order, macromolecule packing data, etc. Additional information can be extracted using special transformations such as Fourier, and Porod-Debye transform (Da Vela and Svergun 2020). Modern approaches such as time-resolved SAXS (Cho et al. 2021) and super-resolution SAXS (Rambo and Tainer 2013) in combination with the molecular dynamics (MD) are tools with great potential in the field of structural and dynamic analysis of conformationally complex systems such as proteins (Boldon et al. 2015; Byer et al. 2023). In the development of the structure- and interaction-based drug design (SIBDD) procedure (Mironov et al. 2022) based on structure-based drug design (SBDD) procedure (Śledź and Caflisch 2018), SAXS is used to assess the stability of complexes and determine the ratio of binding of the developed aptamer and target. SIBDD is the approach proposed for the accelerated design of targeting molecules for newly emerging variants of pathogenic agents. Using the developed procedure, the authors proposed several aptamers that can effectively bind the RBD domain of the SARS-CoV-2 S protein. The data obtained using SAXS enabled to retrieve information about the conformation of the full-length nucleocapsid protein, which cannot be acquired by other methods (Różycki and Boura 2022).

In addition to those presented, other methods for studying protein structures using synchrotron radiation are also used. For example, the Zn-induced interaction of the SARS-CoV-2 accessory open reading frame 7a (orf7a) protein with human bone marrow stromal cell antigen 2 (BST2)/tetherin was studied using X-ray absorption spectroscopy (XAS). This study resulted in the proposal of a mechanism for disrupting the antiviral activity of BST2 by the orf7a protein (Petrosino et al. 2021). However, the application of such methods in protein studies is quite specific and has not yet become frequent practice.

Conclusion

In this review, we briefly discussed the role of synchrotron radiation in structural biology using the example of studies of SARS-CoV-2. Modern sources of synchrotron radiation make it possible to conduct high-performance structural studies with high temporal and spatial resolution, which plays a key role in understanding biological mechanisms. At the same time, X-ray crystallography is the most powerful method of structural biology, which, in combination with SAXS and computational methods, has great potential, both in the study of fundamental biological mechanisms and in the effective development of new drugs.

Author contribution

All authors contributed to the study conception and design. The first draft of the manuscript was written by M.K., and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript. A.R. led the work and reviewed the manuscript.

Funding

This study was supported by the Ministry of Science and Higher Education of the Russian Federation (agreement №075-15-2021-1355).

Data availability

Not applicable.

Code availability

Not applicable.

Declarations

Ethics approval

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Consent to participate

Not applicable.

Consent for publication

Not applicable.

Conflict of interest

The authors declare no competing interests.

Footnotes

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References

  1. Aatif M, Muteeb G, Alsultan A et al (2021) Dieckol and its derivatives as potential inhibitors of SARS-CoV-2 spike protein (UK strain: VUI 202012/01): a computational study. Mar Drugs 19:242. 10.3390/md19050242 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Akdel M, DE Pires V, Pardo EP et al (2022) A structural biology community assessment of AlphaFold2 applications. Nat Struct Mol Biol 29:1056–1067. 10.1038/s41594-022-00849-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Almehdi AM, Khoder G, Alchakee AS et al (2021) SARS-CoV-2 spike protein: pathogenesis, vaccines, and potential therapies. Infection 49:855–876. 10.1007/s15010-021-01677-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Als-Nielsen J, McMorrow D (2011) X-rays and their interaction with matter. In: Elements of modern X-ray physics, 2nd edn. John Wiley and Sons, pp 1–28. 10.1002/9781119998365.ch1
  5. Arafet K, Serrano-Aparicio N, Lodola A et al (2021) Mechanism of inhibition of SARS-CoV-2 M pro by N3 peptidyl Michael acceptor explained by QM/MM simulations and design of new derivatives with tunable chemical reactivity. Chem Sci 12:1433–1444. 10.1039/D0SC06195F [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Arnal RD, Millane RP (2022) Ab initio reconstruction from one-dimensional crystal diffraction data. Acta Crystallogr A Found Adv 78:249–261. 10.1107/S2053273322001942 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Avelar M, Pedraza-González L, Sinicropi A, Flores-Morales V (2023) Triterpene derivatives as potential inhibitors of the RBD spike protein from SARS-CoV-2: an in silico approach. Molecules 28:2333. 10.3390/molecules28052333 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Baek M, Baker D (2022) Deep learning and protein structure modeling. Nat Methods 19:13–14. 10.1038/s41592-021-01360-8 [DOI] [PubMed] [Google Scholar]
  9. Bai Z, Cao Y, Liu W, Li J (2021) The SARS-CoV-2 nucleocapsid protein and its role in viral structure, biological functions, and a potential target for drug or vaccine mitigation. Viruses 13:1115. 10.3390/v13061115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Bai B, Belovodskiy A, Hena M et al (2022) Peptidomimetic α-acyloxymethylketone warheads with six-membered lactam P1 glutamine mimic: SARS-CoV-2 3CL protease inhibition, coronavirus antiviral activity, and in vitro biological stability. J Med Chem 65:2905–2925. 10.1021/acs.jmedchem.1c00616 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Baker JD, Uhrich RL, Kraemer GC et al (2021) A drug repurposing screen identifies hepatitis C antivirals as inhibitors of the SARS-CoV2 main protease. PLoS One 16:e0245962. 10.1371/journal.pone.0245962 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Barends TRM, Stauch B, Cherezov V, Schlichting I (2022) Serial femtosecond crystallography. Nat Rev Methods Prim 2:59. 10.1038/s43586-022-00141-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Baumgärtel H (1981) BESSY - Der Berliner Elektronenspeicherring. Nachr Chem Tech Lab 29:440–444. 10.1002/nadc.19810290706 [Google Scholar]
  14. Berman HM (2000) The Protein Data Bank. Nucleic Acids Res 28:235–242. 10.1093/nar/28.1.235 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Bhowmick S, Jing T, Wang W et al (2022) In silico protein folding prediction of COVID-19 mutations and variants. Biomolecules 12:1665. 10.3390/biom12111665 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Bielecki J, Maia FRNC, Mancuso AP (2020) Perspectives on single particle imaging with X rays at the advent of high repetition rate X-ray free electron laser sources. Struct Dyn 7:040901. 10.1063/4.0000024 [DOI] [PMC free article] [PubMed]
  17. Boldon L, Laliberte F, Liu L (2015) Review of the fundamental theories behind small angle X-ray scattering, molecular dynamics simulations, and relevant integrated application. Nano Rev 6:25661. 10.3402/nano.v6.25661 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Brosey CA, Tainer JA (2019) Evolving SAXS versatility: solution X-ray scattering for macromolecular architecture, functional landscapes, and integrative structural biology. Curr Opin Struct Biol 58:197–213. 10.1016/j.sbi.2019.04.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Buel GR, Walters KJ (2022) Can AlphaFold2 predict the impact of missense mutations on structure? Nat Struct Mol Biol 29:1–2. 10.1038/s41594-021-00714-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Bukhtiyarov AV, Bukhtiyarov VI, Zhuravlev AN et al (2022) Synchrotron radiation facility “Siberian Circular Photon Source” (SRF SKIF). Crystallogr Rep 67:690–711. 10.1134/S1063774522050029 [Google Scholar]
  21. Byer AS, Pei X, Patterson MG, Ando N (2023) Small-angle X-ray scattering studies of enzymes. Curr Opin Chem Biol 72:102232. 10.1016/j.cbpa.2022.102232 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Casasanta MA, Jonaid GM, Kaylor L et al (2023) Structural insights of the SARS-CoV-2 nucleocapsid protein: implications for the inner-workings of rapid antigen tests. Microsc Microanal 29:649–657. 10.1093/micmic/ozac036 [DOI] [PubMed] [Google Scholar]
  23. Chakraborty C, Bhattacharya M, Sharma AR, Mallik B (2022) Omicron (B.1.1.529) - a new heavily mutated variant: mapped location and probable properties of its mutations with an emphasis on S-glycoprotein. Int J Biol Macromol 219:980–997. 10.1016/j.ijbiomac.2022.07.254 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Cho HS, Schotte F, Stadnytskyi V, Anfinrud P (2021) Time-resolved X-ray scattering studies of proteins. Curr Opin Struct Biol 70:99–107. 10.1016/j.sbi.2021.05.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Cohen AE (2021) A new era of synchrotron-enabled macromolecular crystallography. Nat Methods 18:433–434. 10.1038/s41592-021-01146-y [DOI] [PubMed] [Google Scholar]
  26. Da Vela S, Svergun DI (2020) Methods, development and applications of small-angle X-ray scattering to characterize biological macromolecules in solution. Curr Res Struct Biol 2:164–170. 10.1016/j.crstbi.2020.08.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. de la Mora E, Coquelle N, Bury CS et al (2020) Radiation damage and dose limits in serial synchrotron crystallography at cryo- and room temperatures. Proc Natl Acad Sci 117:4142–4151. 10.1073/pnas.1821522117 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Dodson E (2021) Introduction to molecular replacement: a time perspective. Acta Crystallogr D Struct Biol 77:867–879. 10.1107/S2059798321004368 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Dong S, Sun J, Mao Z et al (2020) A guideline for homology modeling of the proteins from newly discovered betacoronavirus, 2019 novel coronavirus (2019-nCoV). J Med Virol 92:1542–1548. 10.1002/jmv.25768 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Ekici ÖD, Götz MG, James KE et al (2004) Aza-peptide Michael acceptors: a new class of inhibitors specific for caspases and other clan CD cysteine proteases. J Med Chem 47:1889–1892. 10.1021/jm049938j [DOI] [PubMed] [Google Scholar]
  31. Fischer M (2021) Macromolecular room temperature crystallography. Q Rev Biophys 54:e1. 10.1017/S0033583520000128 [DOI] [PubMed] [Google Scholar]
  32. Foos N, Rizk M, Nanao MH (2022) Single-support serial isomorphous replacement phasing. Acta Crystallogr D Struct Biol 78:716–724. 10.1107/S2059798322003977 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Fu L, Ye F, Feng Y et al (2020) Both boceprevir and GC376 efficaciously inhibit SARS-CoV-2 by targeting its main protease. Nat Commun 11:4417. 10.1038/s41467-020-18233-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Gao X, Qin B, Chen P et al (2021) Crystal structure of SARS-CoV-2 papain-like protease. Acta Pharm Sin B 11:237–245. 10.1016/j.apsb.2020.08.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Gomes PSFC, Gomes DEB, Bernardi RC (2022) Protein structure prediction in the era of AI: challenges and limitations when applying to in silico force spectroscopy. Front Bioinform 2:983306. 10.3389/fbinf.2022.983306 [DOI] [PMC free article] [PubMed]
  36. Gore S, Sanz García E, Hendrickx PMS et al (2017) Validation of structures in the Protein Data Bank. Structure 25:1916–1927. 10.1016/j.str.2017.10.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Gorkhali R, Koirala P, Rijal S et al (2021) Structure and function of major SARS-CoV-2 and SARS-CoV proteins. Bioinform Biol Insights 15:117793222110258. 10.1177/11779322211025876 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Gräwert TW, Svergun DI (2020) Structural modeling using solution small-angle X-ray scattering (SAXS). J Mol Biol 432:3078–3092. 10.1016/j.jmb.2020.01.030 [DOI] [PubMed] [Google Scholar]
  39. Guo L, Zafar F, Moeen N et al (2022) Ultra-large-scale screening of natural compounds and free energy calculations revealed potential inhibitors for the receptor-binding domain (RBD) of SARS-CoV-2. Molecules 27:7317. 10.3390/molecules27217317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Hameduh T, Haddad Y, Adam V, Heger Z (2020) Homology modeling in the time of collective and artificial intelligence. Comput Struct Biotechnol J 18:3494–3506. 10.1016/j.csbj.2020.11.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Hardenbrook NJ, Zhang P (2022) A structural view of the SARS-CoV-2 virus and its assembly. Curr Opin Virol 52:123–134. 10.1016/j.coviro.2021.11.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. He Z, Ye F, Zhang C et al (2022) A comparison of remdesivir versus gold cluster in COVID-19 animal model: a better therapeutic outcome of gold cluster. Nano Today 44:101468. 10.1016/j.nantod.2022.101468 [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Hendrickson WA, Ogata CM (1997) Phase determination from multiwavelength anomalous diffraction measurements. Methods Enzymol 276:494–523. 10.1016/S0076-6879(97)76074-9 [DOI] [PubMed] [Google Scholar]
  44. Hillen HS, Kokic G, Farnung L et al (2020) Structure of replicating SARS-CoV-2 polymerase. Nature 584:154–156. 10.1038/s41586-020-2368-8 [DOI] [PubMed] [Google Scholar]
  45. Hu Y, Cheng K, He L et al (2021) NMR-based methods for protein analysis. Anal Chem 93:1866–1879. 10.1021/acs.analchem.0c03830 [DOI] [PubMed] [Google Scholar]
  46. Hu Q, Xiong Y, Zhu G-H et al (2022) The SARS-CoV-2 main protease (Mpro): structure, function, and emerging therapies for COVID-19. MedComm (Beijing) 3:e151. 10.1002/mco2.151 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Ionescu MI (2020) An overview of the crystallized structures of the SARS-CoV-2. Protein J 39:600–618. 10.1007/s10930-020-09933-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Jamison DA, Anand Narayanan S, Trovão NS et al (2022) A comprehensive SARS-CoV-2 and COVID-19 review, part 1: intracellular overdrive for SARS-CoV-2 infection. Eur J Hum Genet 30:889–898. 10.1038/s41431-022-01108-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Jin Z, Du X, Xu Y et al (2020) Structure of Mpro from SARS-CoV-2 and discovery of its inhibitors. Nature 582:289–293. 10.1038/s41586-020-2223-y [DOI] [PubMed] [Google Scholar]
  50. Jumper J, Evans R, Pritzel A et al (2021) Highly accurate protein structure prediction with AlphaFold. Nature 596:583–589. 10.1038/s41586-021-03819-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Kilim O, Mentes A, Pál B et al (2023) SARS-CoV-2 receptor-binding domain deep mutational AlphaFold2 structures. Sci Data 10:134. 10.1038/s41597-023-02035-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Kim Y, Nam KH (2022) Pink-beam serial synchrotron crystallography at Pohang light source II. Crystals (Basel) 12:1637. 10.3390/cryst12111637 [Google Scholar]
  53. Kim AK, Porter LL (2021) Functional and regulatory roles of fold-switching proteins. Structure 29:6–14. 10.1016/j.str.2020.10.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Kingston RL, Millane RP (2022) A general method for directly phasing diffraction data from high-solvent-content protein crystals. IUCrJ 9:648–665. 10.1107/S2052252522006996 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Kirian RA, White TA, Holton JM et al (2011) Structure-factor analysis of femtosecond microdiffraction patterns from protein nanocrystals. Acta Crystallogr A 67:131–140. 10.1107/S0108767310050981 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Kneller DW, Phillips G, O’Neill HM et al (2020) Structural plasticity of SARS-CoV-2 3CL Mpro active site cavity revealed by room temperature X-ray crystallography. Nat Commun 11:3202. 10.1038/s41467-020-16954-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Koelmel W, Kuper J, Kisker C (2021) Cesium based phasing of macromolecules: a general easy to use approach for solving the phase problem. Sci Rep 11:17038. 10.1038/s41598-021-95186-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Kursula P (2021) Small-angle X-ray scattering for the proteomics community: current overview and future potential. Expert Rev Proteomics 18:415–422. 10.1080/14789450.2021.1951242 [DOI] [PubMed] [Google Scholar]
  59. Lam TT-Y, Jia N, Zhang Y-W et al (2020) Identifying SARS-CoV-2-related coronaviruses in Malayan pangolins. Nature 583:282–285. 10.1038/s41586-020-2169-0 [DOI] [PubMed] [Google Scholar]
  60. Lane TJ (2023) Protein structure prediction has reached the single-structure frontier. Nat Methods 20:170–173. 10.1038/s41592-022-01760-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Lawrence JM, Orlans J, Evans G et al (2020) High-throughput in situ experimental phasing. Acta Crystallogr D Struct Biol 76:790–801. 10.1107/S2059798320009109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Lee J, Kenward C, Worrall LJ et al (2022a) X-ray crystallographic characterization of the SARS-CoV-2 main protease polyprotein cleavage sites essential for viral processing and maturation. Nat Commun 13:5196. 10.1038/s41467-022-32854-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Lee RK-L, Li T-N, Chang S-Y et al (2022b) Identification of entry inhibitors against delta and Omicron variants of SARS-CoV-2. Int J Mol Sci 23:4050. 10.3390/ijms23074050 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Li M, Ren Y, Aw ZQ et al (2022) Broadly neutralizing and protective nanobodies against SARS-CoV-2 Omicron subvariants BA.1, BA.2, and BA.4/5 and diverse sarbecoviruses. Nat Commun 13:7957. 10.1038/s41467-022-35642-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Ma S, Damfo S, Lou J et al (2022) Two ligand-binding sites on SARS-CoV-2 non-structural protein 1 revealed by fragment-based X-ray screening. Int J Mol Sci 23:12448. 10.3390/ijms232012448 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Mahal A, Duan M, Zinad DS et al (2021) Recent progress in chemical approaches for the development of novel neuraminidase inhibitors. RSC Adv 11:1804–1840. 10.1039/D0RA07283D [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Martiel I, Müller-Werkmeister HM, Cohen AE (2019) Strategies for sample delivery for femtosecond crystallography. Acta Crystallogr D Struct Biol 75:160–177. 10.1107/S2059798318017953 [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Martínez-Flores D, Zepeda-Cervantes J, Cruz-Reséndiz A et al (2021) SARS-CoV-2 vaccines based on the spike glycoprotein and implications of new viral variants. Front Immunol 12:701501. 10.3389/fimmu.2021.701501 [DOI] [PMC free article] [PubMed]
  69. Martin-Garcia JM (2021) Protein dynamics and time resolved protein crystallography at synchrotron radiation sources: past, present and future. Crystals (Basel) 11:521. 10.3390/cryst11050521 [Google Scholar]
  70. McCoy AJ (2007) Solving structures of protein complexes by molecular replacement with Phaser. Acta Crystallogr D Biol Crystallogr 63:32–41. 10.1107/S0907444906045975 [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. McCoy AJ, Sammito MD, Read RJ (2022) Implications of AlphaFold 2 for crystallographic phasing by molecular replacement. Acta Crystallogr D Struct Biol 78:1–13. 10.1107/S2059798321012122 [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Medina A, Jiménez E, Caballero I et al (2022) Verification: model-free phasing with enhanced predicted models in ARCIMBOLDO_SHREDDER. Acta Crystallogr D Struct Biol 78:1283–1293. 10.1107/S2059798322009706 [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Meents A, Wiedorn MO, Srajer V et al (2017) Pink-beam serial crystallography. Nat Commun 8:1281. 10.1038/s41467-017-01417-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Mehrabi P, Bücker R, Bourenkov G et al (2021) Serial femtosecond and serial synchrotron crystallography can yield data of equivalent quality: a systematic comparison. Sci Adv 7:eabf1380. 10.1126/sciadv.abf1380 [DOI] [PMC free article] [PubMed]
  75. Mironov V, Shchugoreva IA, Artyushenko PV et al (2022) Structure‐ and interaction‐based design of anti‐SARS‐CoV‐2 aptamers. Chemistry 28:e202104481. 10.1002/chem.202104481 [DOI] [PMC free article] [PubMed]
  76. Miyashita O, Joti Y (2017) X-ray free electron laser single-particle analysis for biological systems. Curr Opin Struct Biol 43:163–169. 10.1016/j.sbi.2017.03.014 [DOI] [PubMed] [Google Scholar]
  77. Mody V, Ho J, Wills S et al (2021) Identification of 3-chymotrypsin like protease (3CLPro) inhibitors as potential anti-SARS-CoV-2 agents. Commun Biol 4:93. 10.1038/s42003-020-01577-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Morgan AJ, Ayyer K, Barty A et al (2019) Ab initio phasing of the diffraction of crystals with translational disorder. Acta Crystallogr A Found Adv 75:25–40. 10.1107/S2053273318015395 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Mou T-C, Zeng B, Doukov TI, Sprang SR (2022) Application of sulfur SAD to small crystals with a large asymmetric unit and anomalous substructure. Acta Crystallogr D Struct Biol 78:1021–1031. 10.1107/S2059798322005848 [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Muhammed MT, Aki-Yalcin E (2019) Homology modeling in drug discovery: overview, current applications, and future perspectives. Chem Biol Drug Des 93:12–20. 10.1111/cbdd.13388 [DOI] [PubMed] [Google Scholar]
  81. Munro IH (1997) Synchrotron radiation research in the UK. J Synchrotron Radiat 4:344–358. 10.1107/S090904959701176X [DOI] [PubMed] [Google Scholar]
  82. Nam KH (2020) Approach of serial crystallography. Crystals (Basel) 10:854. 10.3390/cryst10100854 [Google Scholar]
  83. Nam KH (2022) Serial X-ray crystallography. Crystals (Basel) 12:99. 10.3390/cryst12010099 [Google Scholar]
  84. Newman JA, Douangamath A, Yadzani S et al (2021) Structure, mechanism and crystallographic fragment screening of the SARS-CoV-2 NSP13 helicase. Nat Commun 12:4848. 10.1038/s41467-021-25166-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Osipiuk J, Azizi S-A, Dvorkin S et al (2021) Structure of papain-like protease from SARS-CoV-2 and its complexes with non-covalent inhibitors. Nat Commun 12:743. 10.1038/s41467-021-21060-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Ou J, Lan W, Wu X et al (2022) Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events. Signal Transduct Target Ther 7:138. 10.1038/s41392-022-00992-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Outeiral C, Nissley DA, Deane CM (2022) Current structure predictors are not learning the physics of protein folding. Bioinformatics 38:1881–1887. 10.1093/bioinformatics/btab881 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Pearce NM, Krojer T, Bradley AR et al (2017) A multi-crystal method for extracting obscured crystallographic states from conventionally uninterpretable electron density. Nat Commun 8:15123. 10.1038/ncomms15123 [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Pearson AR, Mehrabi P (2020) Serial synchrotron crystallography for time-resolved structural biology. Curr Opin Struct Biol 65:168–174. 10.1016/j.sbi.2020.06.019 [DOI] [PubMed] [Google Scholar]
  90. Peng Q, Peng R, Yuan B et al (2020) Structural and biochemical characterization of the nsp12-nsp7-nsp8 core polymerase complex from SARS-CoV-2. Cell Rep 31:107774. 10.1016/j.celrep.2020.107774 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Pereira J, Simpkin AJ, Hartmann MD et al (2021) High-accuracy protein structure prediction in <scp>CASP14</scp>. Proteins: Struct Funct Bioinforma 89:1687–1699. 10.1002/prot.26171 [DOI] [PubMed] [Google Scholar]
  92. Petrosino M, Stellato F, Chiaraluce R et al (2021) Zn-induced interactions between SARS-CoV-2 orf7a and BST2/Tetherin. ChemistryOpen 10:1133–1141. 10.1002/open.202100217 [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Putnam CD, Hammel M, Hura GL, Tainer JA (2007) X-ray solution scattering (SAXS) combined with crystallography and computation: defining accurate macromolecular structures, conformations and assemblies in solution. Q Rev Biophys 40:191–285. 10.1017/S0033583507004635 [DOI] [PubMed] [Google Scholar]
  94. Rambo RP, Tainer JA (2013) Super-resolution in solution X-ray scattering and its applications to structural systems biology. Annu Rev Biophys 42:415–441. 10.1146/annurev-biophys-083012-130301 [DOI] [PubMed] [Google Scholar]
  95. Robertson JC, Nassar R, Liu C et al (2019) NMR-assisted protein structure prediction with MELDxMD. Proteins: Struct Funct Bioinforma 87:1333–1340. 10.1002/prot.25788 [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Rodríguez DD, Grosse C, Himmel S et al (2009) Crystallographic ab initio protein structure solution below atomic resolution. Nat Methods 6:651–653. 10.1038/nmeth.1365 [DOI] [PubMed] [Google Scholar]
  97. Różycki B, Boura E (2022) Conformational ensemble of the full-length SARS-CoV-2 nucleocapsid (N) protein based on molecular simulations and SAXS data. Biophys Chem 288:106843. 10.1016/j.bpc.2022.106843 [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Russi S, González A, Kenner LR et al (2017) Conformational variation of proteins at room temperature is not dominated by radiation damage. J Synchrotron Radiat 24:73–82. 10.1107/S1600577516017343 [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Sanchez-Cano C, Alvarez-Puebla RA, Abendroth JM et al (2021) X-ray-based techniques to study the nano–bio interface. ACS Nano 15:3754–3807. 10.1021/acsnano.0c09563 [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Sanders B, Pokhrel S, Labbe A et al (2022) Potent and selective covalent inhibition of the papain-like protease from SARS-CoV-2. Res Sq. 10.21203/rs.3.rs-906621/v1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Schlichting I, Goody RS (1997) Triggering methods in crystallographic enzyme kinetics. Methods Enzymol 277:467–490. 10.1016/S0076-6879(97)77026-5 [DOI] [PubMed] [Google Scholar]
  102. Schmidt A, Teeter M, Weckert E, Lamzin VS (2011) Crystal structure of small protein crambin at 0.48 Å resolution. Acta Crystallogr Sect F Struct Biol Cryst Commun 67:424–428. 10.1107/S1744309110052607 [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Seffernick JT, Lindert S (2020) Hybrid methods for combined experimental and computational determination of protein structure. J Chem Phys 153:240901. 10.1063/5.0026025 [DOI] [PMC free article] [PubMed]
  104. Shabalin IG, Porebski PJ, Minor W (2018) Refining the macromolecular model – achieving the best agreement with the data from X-ray diffraction experiment. Crystallogr Rev 24:236–262. 10.1080/0889311X.2018.1521805 [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Shang J, Ye G, Shi K et al (2020) Structural basis of receptor recognition by SARS-CoV-2. Nature 581:221–224. 10.1038/s41586-020-2179-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Shi W, Cai Y, Zhu H et al (2023) Cryo-EM structure of SARS-CoV-2 postfusion spike in membrane. Nature 619:403–409. 10.1038/s41586-023-06273-4 [DOI] [PubMed] [Google Scholar]
  107. Śledź P, Caflisch A (2018) Protein structure-based drug design: from docking to molecular dynamics. Curr Opin Struct Biol 48:93–102. 10.1016/j.sbi.2017.10.010 [DOI] [PubMed] [Google Scholar]
  108. Sugiki T, Yamaguchi Y, Fujiwara T et al (2020) In-cell NMR as a sensitive tool to monitor physiological condition of Escherichia coli. Sci Rep 10:2466. 10.1038/s41598-020-59076-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Terwilliger TC, Poon BK, Afonine PV et al (2022) Improved AlphaFold modeling with implicit experimental information. Nat Methods 19:1376–1382. 10.1038/s41592-022-01645-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. Theillet F-X, Luchinat E (2022) In-cell NMR: why and how? Prog Nucl Magn Reson Spectrosc 132–133:1–112. 10.1016/j.pnmrs.2022.04.002 [DOI] [PubMed] [Google Scholar]
  111. Truong JQ, Nguyen S, Bruning JB, Shearwin KE (2021) Simplified heavy-atom derivatization of protein structures via co-crystallization with the MAD tetragon tetrabromoterephthalic acid. Acta Crystallogr F Struct Biol Commun 77:156–162. 10.1107/S2053230X21004052 [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Wang J (2015) Estimation of the quality of refined protein crystal structures. Protein Sci 24:661–669. 10.1002/pro.2639 [DOI] [PMC free article] [PubMed] [Google Scholar]
  113. Wang R, Zhang Q, Ge J et al (2021) Analysis of SARS-CoV-2 variant mutations reveals neutralization escape mechanisms and the ability to use ACE2 receptors from additional species. Immunity 54:1611-1621.e5. 10.1016/j.immuni.2021.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Webb B, Viswanath S, Bonomi M et al (2018) Integrative structure modeling with the integrative modeling platform. Protein Sci 27:245–258. 10.1002/pro.3311 [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Weber IT, Wang Y-F, Harrison RW (2021) HIV protease: historical perspective and current research. Viruses 13:839. 10.3390/v13050839 [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Wierbowski SD, Liang S, Liu Y et al (2021) A 3D structural SARS-CoV-2–human interactome to explore genetic and drug perturbations. Nat Methods 18:1477–1488. 10.1038/s41592-021-01318-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  117. Wrapp D, Wang N, Corbett KS et al (2020) Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation. Science 367:1260–1263. 10.1126/science.abb2507 [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Yang Z, Zeng X, Zhao Y, Chen R (2023) AlphaFold2 and its applications in the fields of biology and medicine. Signal Transduct Target Ther 8:115. 10.1038/s41392-023-01381-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Ye G, Liu B, Li F (2022) Cryo-EM structure of a SARS-CoV-2 Omicron spike protein ectodomain. Nat Commun 13:1214. 10.1038/s41467-022-28882-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  120. Yousef M, Abdelkader T, El-Bahnasy K (2019) Performance comparison of ab initio protein structure prediction methods. Ain Shams Eng J 10:713–719. 10.1016/j.asej.2019.03.004 [Google Scholar]
  121. Yuan Y, Tam MF, Simplaceanu V, Ho C (2015) New look at hemoglobin allostery. Chem Rev 115:1702–1724. 10.1021/cr500495x [DOI] [PMC free article] [PubMed] [Google Scholar]
  122. Yun H-Y, Lee J, Kim H et al (2018) Structural study reveals the temperature-dependent conformational flexibility of Tk-PTP, a protein tyrosine phosphatase from Thermococcus kodakaraensis KOD1. PLoS One 13:e0197635. 10.1371/journal.pone.0197635 [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Zhang L, Lin D, Sun X et al (2020) Crystal structure of SARS-CoV-2 main protease provides a basis for design of improved α-ketoamide inhibitors. Science 368:409–412. 10.1126/science.abb3405 [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Zhu L, Chen X, Abola EE et al (2020) Serial crystallography for structure-based drug discovery. Trends Pharmacol Sci 41:830–839. 10.1016/j.tips.2020.08.009 [DOI] [PMC free article] [PubMed] [Google Scholar]

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