Multiscale Estimation of Binding Kinetics Using Brownian Dynamics, Molecular Dynamics and Milestoning
Author(s) -
Lane Votapka,
Rommie E. Amaro
Publication year - 2015
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1004381
Subject(s) - brownian dynamics , molecular dynamics , reaction rate constant , chemistry , brownian motion , kinetic energy , kinetics , molecule , thermodynamics , statistical physics , computational chemistry , chemical physics , biological system , physics , classical mechanics , quantum mechanics , organic chemistry , biology
The kinetic rate constants of binding were estimated for four biochemically relevant molecular systems by a method that uses milestoning theory to combine Brownian dynamics simulations with more detailed molecular dynamics simulations. The rate constants found using this method agreed well with experimentally and theoretically obtained values. We predicted the association rate of a small charged molecule toward both a charged and an uncharged spherical receptor and verified the estimated value with Smoluchowski theory. We also calculated the k on rate constant for superoxide dismutase with its natural substrate, O 2 − , in a validation of a previous experiment using similar methods but with a number of important improvements. We also calculated the k on for a new system: the N-terminal domain of Troponin C with its natural substrate Ca 2+ . The k on calculated for the latter two systems closely resemble experimentally obtained values. This novel multiscale approach is computationally cheaper and more parallelizable when compared to other methods of similar accuracy. We anticipate that this methodology will be useful for predicting kinetic rate constants and for understanding the process of binding between a small molecule and a protein receptor.
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