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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 1998 Feb 17;95(4):1358–1362. doi: 10.1073/pnas.95.4.1358

Dynamical principles in biological processes

E W Schlag , S H Lin , R Weinkauf , P M Rentzepis §,
PMCID: PMC19004  PMID: 9465019

Abstract

The purpose of this paper is to propose certain dynamical principles in biological systems, which can be used to explain the effectiveness of charge transfer or excitation transfer in biological systems. Some of these systems are accessible experimentally.

1. INTRODUCTION

In this paper we shall discuss some dynamical principles that govern biological processes. For convenience of discussion, we use the biological electron transfer as an example. Of course, the same principles can be applied to other biological processes. The states involved in the process under consideration may be detected and characterized by experimental means such as ultrafast spectroscopy.

Electron transfer reactions play key roles in a great many biological processes, including collagen synthesis, steroid metabolism, immune response, drug activation, neurotransmitter metabolism, nitrogen fixation, respiration, and photosynthesis (14). The latter two processes are of fundamental significance because they provide most of the energy that is required for the maintenance of life. From the viewpoint of global bioenergetics, aerobic respiration and photosynthesis are complementary processes. The oxygen that is evolved by photosynthetic organisms is consumed by aerobic microbes and animals. Similarly, the end products of aerobic respiratory metabolism, (CO2 and H2O), are the major nutritional requirements of photosynthetic organisms. The global C, H, and O cycles thus are largely caused by aerobic respiration and photosynthesis. In other words, most biological processes consist of a series of dynamical events with different time scales. In this paper we attempt to find some general principles that strongly influence the biological processes.

2. THEORY

A typical model for biological electron transfer (ET) can be expressed as (14)

graphic file with name M1.gif 2-1
graphic file with name M2.gif

where the first step denotes photoexcitation, and the second step represents ET. This charge separation is of paramount importance. However, charge separation must be maintained, and therefore the energy-wasting back reaction must be minimized. Although in Eq. 2-1 we use the photoinduced ET as illustration, the theoretical treatment that follows can be easily generalized to other cases.

From Eq. 2-1 we can see that the ET can be accomplished either in one step

graphic file with name M3.gif 2-2

or in several steps (i.e., sequential ET),

graphic file with name M4.gif 2-3
graphic file with name M5.gif

The ET described by Eq. 2-2 usually is called the ET by super-exchange interaction (or ET through bonds). We first shall treat the model described by Eq. 2-3. For convenience we shall rewrite Eq. 2-3 as

graphic file with name M6.gif 2-4

where K represents the rate constant for any reaction associated with P+A1A2 … AnAnA after ET. For example, PP*A1 … AnA, A1P+A1A2 … AnA, AP+A1A2 … AnA, etc.

Notice that

graphic file with name M7.gif 2-5
graphic file with name M8.gif 2-6
graphic file with name M9.gif
graphic file with name M10.gif
graphic file with name M11.gif 2-7
graphic file with name M12.gif 2-8

Here we have ignored the back transfers; the condition for its validity will be discussed later. To solve Eqs. 2-5 through 2-8 we shall use Laplace transformation;

graphic file with name M13.gif 2-9

It follows that

graphic file with name M14.gif 2-10
graphic file with name M15.gif 2-11
graphic file with name M16.gif 2-12
graphic file with name M17.gif
graphic file with name M18.gif 2-13

and

graphic file with name M19.gif 2-14

where P(0) denotes the initial concentration of P(t).

Carrying out the inverse Laplace transformation of Eqs. 2-10 through 2-14 it yields:

graphic file with name M20.gif 2-15
graphic file with name M21.gif 2-16
graphic file with name M22.gif
graphic file with name M23.gif 2-17

If Kkn, kn−1 … k1, k then in the time region of K t ∼ 1, Eq. 2-17 reduces to

graphic file with name M24.gif 2-18

Eq. 2-18 shows that for the case in which the ET is very effective, the intermediate steps involving ET do not have any effect on the chemical reaction (or other processes) described by K.

Next, we discuss the condition under which the reverse processes in Eq. 2-4 can be ignored. For example, if we let the rate constant for the reverse process A2A1 be k1, then

graphic file with name M25.gif 2-19

At room temperature, we find

graphic file with name M26.gif 2-20

It is well known that in photosynthesis charge separation is of paramount importance. The key problem is to maintain the charge separation, which involves minimizing the energy-wasting back reaction. Reaction centers contain an ordered array of secondary electron acceptors, (A1, A2, A3 … ), that optimize the ΔG0 that occurs at each step described by Eq. 2-3. Thus the back reaction is circumvented by optimizing forward electron transfer that rapidly removes electrons from A1 (see Eq. 2-19). As the acceptors are separated by greater and greater distances from P+, the probability of the back electron transfer to P+ decreases.

Now we consider the one-step model described by Eq. 2-2. In this case, the quantum mechanical rate constant for kT can be expressed as (5-9)

graphic file with name M27.gif 2-21

where the electronic matrix element Tfi is given by

graphic file with name M28.gif 2-22

and Vfi, etc. denote the ET matrix elements i.e., Vfi = 〈Φf|Vi〉. The first term in Eq. 2-22 Vfi describes the so-called direct ET or ET through space, whereas the second term Tfi(2) in Eq. 2-22 describes the super-exchange ET or ET through bonds (or bridge groups). The summation over m in Eq. 2-22 covers all the possible intermediate states. In other words, all the possible paths are to be included in the calculation of Tfi(2) (see Appendix).

We consider the calculation of Tfi(2). In this case, we have

graphic file with name M29.gif 2-23

where, φ1P+A1A2 … ANA, φ2P+A1A2A3 … ANA, etc. If we consider only the most effective path, it follows that

graphic file with name M30.gif
graphic file with name M31.gif
graphic file with name M32.gif
graphic file with name M33.gif
graphic file with name M34.gif 2-24

In particular if Φm = φ1, i.e., φ1P+A1A, then

graphic file with name M35.gif 2-25

where

graphic file with name M36.gif 2-26
graphic file with name M37.gif 2-27

and

graphic file with name M38.gif 2-28

Other examples are discussed in the Appendix.

In most cases, no general expressions can be obtained except for the case where all the intermediate groups are equivalent. In this case, the theory of molecular exciton can be applied and we find

graphic file with name M39.gif 2-29

and

graphic file with name M40.gif 2-30

where m = 1, 2, … N, α = H11H22 … =HNN, and β = Vnn+1 = Vnn−1.

It follows that

graphic file with name M41.gif 2-31

where βi = 〈φ1|Vi〉 and βf = 〈Φf|VN〉. Here we have φi = P*A1A2 … ANA. For N = 2,

graphic file with name M42.gif 2-32

and for N = 3,

graphic file with name M43.gif 2-33

For the case of (α−Ei)2 ≫ β2, Eq. 2-31 reduces to

graphic file with name M44.gif 2-34

It is important to note that the ET rate constant (see Eq. 2-21) can be separated into the electronic part |Tfi|2 and the nuclear part, Σv Σv Pav|〈Θfv′iv〉|2δ(Efv′Eiv). Although |Tfi|2 will depend on the intermediate groups, the nuclear part that determines the temperature and free energy dependence of ET is relatively insensitive to the intermediate groups and is determined mainly by the donor and acceptor groups.

Proteins that function as electron transfer entities typically place their prosthetic groups in a hydrocarbon environment and may provide hydrogen bonds (in addition to ligands) to assist in stabilizing both the oxidized and the reduced forms of the cofactor. Metal-ligand bonds remain intact upon electron transfer to minimize inner-sphere reorganization (10, 11). Many of the complex multisite metalloenzymes (e.g., cytochrome c oxidase, xanthine oxidase, and nitrogenase FeMo protein) contain redox centers that function as intramolecular electron transferases, moving electrons to/from other metal centers that bind exogenous ligands during enzymatic turnover.

3. DISCUSSION

We show, in the following example, that the existence of one or more fast reverse processes in the same reaction does not favor ET,

graphic file with name M45.gif 3-1
graphic file with name M46.gif

For convenience, we let

graphic file with name M47.gif 3-2
graphic file with name M48.gif

Therefore

graphic file with name M49.gif 3-3
graphic file with name M50.gif 3-4
graphic file with name M51.gif 3-5
graphic file with name M52.gif 3-6

For the case in which k1 and k1 are fast enough that the equilibrium is established in the ET processes, we obtain

graphic file with name M53.gif 3-7

where

graphic file with name M54.gif 3-8

Under the conditions 1k2K, and kt ≫ 1, 1k2t, Eq. 3-7

reduces to

graphic file with name M55.gif 3-9

which suggests that only in this case will the ET still be very effective.

Next we consider the branching effect.

graphic file with name M56.gif 3-10

Using Laplace transformation, we find

graphic file with name M57.gif 3-11

and

graphic file with name M58.gif 3-12

It follows that

graphic file with name M59.gif 3-13

and

graphic file with name M60.gif 3-14

That is, the branching effect is determined by the relative magnitudes of k1 and k1.

4. CONCLUSION

In this paper we have used the ET process as means for discussing some dynamical principles associated with biological processes. We have compared the sequential ET process with the through bond (i.e., super-exchange) ET process, and discussed the conditions under which the sequential process is most effective. We also have shown that various paths associated with the super-exchange ET process can be represented diagrammatically. The effect of branching and reversible processes also has been presented.

Acknowledgments

S.H.L. wishes to thank the National Science Council of the Republic of China for supporting this work.

ABBREVIATION

ET

electron transfer

Appendix

In this appendix we shall consider the N = 2 case and N = 3 case. For the N = 2 case, we have

graphic file with name M61.gif A-1
graphic file with name M62.gif A-2

The results for the case of equivalent intermediate groups are given by Eq. 2-32. Here we shall consider an interesting case in which the A2 group has a much higher energy than that the A1 group, i.e., H22H11. In this case, we find

graphic file with name M63.gif A-3
graphic file with name M64.gif A-4
graphic file with name M65.gif A-5

and

graphic file with name M66.gif A-6

where β = H12.

It follows that

graphic file with name M67.gif A-7
graphic file with name M68.gif

Notice that

graphic file with name M69.gif A-8

and

graphic file with name M70.gif A-9

Eq. A-7 can graphically be expressed as follows:

graphic file with name M71.gif
graphic file with name M72.gif
graphic file with name M73.gif
graphic file with name M74.gif
graphic file with name M75.gif
graphic file with name M76.gif
graphic file with name M77.gif
graphic file with name M78.gif

In other words, each term in Eq. A-7 can be represented by a reaction path. To determine which path is most important, one has to examine the magnitudes of EiEm and the ET matrix element β, 〈Φf|V1〉 and 〈φ|Vi〉.

Next we consider the N = 3 case. In this case we have

graphic file with name M79.gif A-10
graphic file with name M80.gif A-11
graphic file with name M81.gif A-12

Suppose that

graphic file with name M82.gif A-13

That is, we have PA1A2A3A.

We shall consider only the case in which A2 has the highest energy, i.e., H22H11 = H33. The approximate solution of Eqs. A-10A-12 is given by

graphic file with name M83.gif A-14
graphic file with name M84.gif A-15
graphic file with name M85.gif A-16
graphic file with name M86.gif A-17
graphic file with name M87.gif A-18

and

graphic file with name M88.gif A-19

It follows that

graphic file with name M89.gif A-20
graphic file with name M90.gif

Again Eq. A-20 can be graphically represented as follows

graphic file with name M91.gif
graphic file with name M92.gif
graphic file with name M93.gif
graphic file with name M94.gif
graphic file with name M95.gif
graphic file with name M96.gif
graphic file with name M97.gif
graphic file with name M98.gif

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