Abstract
We performed “weighted ensemble” path-sampling simulations of adenylate kinase, using several semiatomistic protein models. The models have an all-atom backbone with various levels of residue interactions. The primary result is that full statistically rigorous path sampling required only a few weeks of single-processor computing time with these models, indicating the addition of further chemical detail should be readily feasible. Our semiatomistic path ensembles are consistent with previous biophysical findings: the presence of two distinct pathways, identification of intermediates, and symmetry of forward and reverse pathways.
Users
Please
log in to take part in the discussion (add own reviews or comments).