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• W2788991323 abstract "The role of structure and dynamics of an enzyme has been investigated at three different stages of its function including the chemical event it catalyzes. A one-pot computational method has been designed for each of these stages on the basis of classical and/or quantum mechanical–molecular mechanical molecular dynamics and transition path sampling simulations. For a pair of initial and final states A and B separated by a high free-energy barrier, using a two-stage selection process, several collective variables (CVs) are identified that can delineate A and B. However, these CVs are found to exhibit strong cross-coupling over the transition paths. A set of mutually orthogonal order parameters is then derived from these CVs and an optimal reaction coordinate, r, determined applying half-trajectory likelihood maximization along with a Bayesian information criterion. The transition paths are also used to project the multidimensional free energy surface and barrier crossing dynamics along r. The proposed scheme has been applied to the rate-determining intramolecular proton transfer reaction of the well-known enzyme human carbonic anhydrase II. The potential of mean force, F(r), in the absence of the chemical step is found to reproduce earlier results on the equilibrium population of two side-chain orientations of key residue His-64. Estimation of rate constants, k, from mean first passage times for the three different stages of catalysis shows that the rate-determining step of intramolecular proton transfer occurs with k ≃ 1.0 × 106 s–1, in close agreement with known experimental results." @default.
• W2788991323 created "2018-03-06" @default.
• W2788991323 creator A5005367984 @default.
• W2788991323 creator A5051941185 @default.
• W2788991323 creator A5076983789 @default.
• W2788991323 date "2018-02-21" @default.
• W2788991323 modified "2023-10-14" @default.
• W2788991323 title "Reaction Coordinate, Free Energy, and Rate of Intramolecular Proton Transfer in Human Carbonic Anhydrase II" @default.
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• W2788991323 doi "https://doi.org/10.1021/acs.jpcb.7b10713" @default.
• W2788991323 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29466004" @default.
• W2788991323 hasPublicationYear "2018" @default.
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