Calculation of quantum parameters for nonadiabatic redox reactions. Application to photoreduction of flavin in DNA photolyase

Citation
E. Lee et al., Calculation of quantum parameters for nonadiabatic redox reactions. Application to photoreduction of flavin in DNA photolyase, J PHYS CH B, 104(29), 2000, pp. 6894-6902
Citations number
52
Categorie Soggetti
Physical Chemistry/Chemical Physics
Journal title
JOURNAL OF PHYSICAL CHEMISTRY B
ISSN journal
15206106 → ACNP
Volume
104
Issue
29
Year of publication
2000
Pages
6894 - 6902
Database
ISI
SICI code
1520-6106(20000727)104:29<6894:COQPFN>2.0.ZU;2-2
Abstract
A simple practical way to account for the effect of quantum modes on electr on transfer (ET) is to use the Jortner expression for ET rate. The expressi on includes two quantum parameters which describe the properties of high-fr equency modes in the system. In our recent paper (J. Chem. Phys. 2000, 112, 9015), we developed a method to calculate these parameters for redox cofac tors from ab initio data on their potential energy surfaces. In this paper, we extend our method to include the solvent, which is treated as a continu ous dielectric medium. As an example, two reactions describing photoreducti on of the flavin cofactor in DNA photolyase (an enzyme that repairs thymine dimers in DNA) are investigated. We calculated the quantum parameters for each cofactor (flavin radical, tryptophan, tryptophan cation radical, and t yrosine), as well as for water, which was used as a model medium. and then obtained the dependence of ET rates k(ET) On the driving force Delta G(0) i n a wide range of Delta G(0). As expected, the quantum modes tend to flatte n the log k(ET) vs Delta G(0) dependence in the inverted region, and the ca lculation provides a quantitative estimate of this effect. A similar effect has been predicted to originate from inelastic tunneling (Medvedev, E. S.; Stuchebrukhov, A. A, J. Chem. Phys. 1997, 107, 3821). This effect makes k( ET) relatively insensitive to Delta G(0) variations, compared with the clas sical Marcus theory, and might be of importance for biological ET systems t o ensure their stable performance.