Statistical Coupling Analysis Predicts Correlated Motions in Dihydrofolate Reductase.

ABSTRACT: Dihydrofolate reductase (DHFR), due to its universality and the depth with which it has been studied, is a model system in the study of protein dynamics. Myriad previous works have identified networks of residues in positions near to and remote from the active site that are involved in the dynamics. For example, specific mutations on the Met20 loop in Escherichia coli DHFR (N23PP/S148A) are known to disrupt millisecond-time scale motions as well as reduce catalytic activity. However, how and if networks of dynamically coupled residues influence the evolution of DHFR is still an unanswered question. In this study, we first identify, by statistical coupling analysis and molecular dynamic simulations, a network of coevolving residues that possesses increased correlated motions. We then

SUBMITTER: Kalmer TL 

PROVIDER: S-EPMC11514014 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature