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Evolution Conserves the Network of Coupled Residues in Dihydrofolate Reductase
Journal article   Peer reviewed

Evolution Conserves the Network of Coupled Residues in Dihydrofolate Reductase

Jiayue Li, Gabriel Fortunato, Jennifer Lin, Pratul K Agarwal, Amnon Kohen, Priyanka Singh and Christopher M Cheatum
Biochemistry (Easton), Vol.58(37), pp.3861-3868
09/17/2019
DOI: 10.1021/acs.biochem.9b00460
PMCID: PMC7296831
PMID: 31423766
url
https://www.ncbi.nlm.nih.gov/pmc/articles/7296831View
Open Access

Abstract

Understanding protein motions and their role in enzymatic reactions is an important and timely topic in enzymology. Protein motions that are involved in the chemical step of catalysis are particularly intriguing but difficult to identify. A global network of coupled residues in dihydrofolate reductase ( DHFR), which assists in catalyzing the chemical step, has previously been demonstrated through quantum mechanical/molecular mechanical and molecular dynamics simulations as well as bioinformatic analyses. A few specific residues (M42, G121, F125, and I14) were shown to function synergistically with measurements of single-turnover rates and the temperature dependence of intrinsic kinetic isotope effects (KIEs ) of site-directed mutants. This study hypothesizes that the global network of residues involved in the chemical step is evolutionarily conserved and probes homologous residues of the potential global network in human DHFR through measurements of the temperature dependence of KIEs and computer simulations based on the empirical valence bond method. We study mutants M53W and S145V. Both of these remote residues are homologous to network residues in DHFR. Non-additive isotope effects on activation energy are observed between M53 and S145, indicating their synergistic effect on the chemical step in human DHFR, which suggests that both of these residues are part of a network affecting the chemical step in enzyme catalysis. This finding supports the hypothesis that human and DHFR share similar networks, consistent with evolutionary preservation of such networks.

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