Protein folding by distributed computing and the denatured state ensemble.
Ontology highlight
ABSTRACT: The distributed computing (DC) paradigm in conjunction with the folding@home (FH) client server has been used to study the folding kinetics of small peptides and proteins, giving excellent agreement with experimentally measured folding rates, although pathways sampled in these simulations are not always consistent with the folding mechanism. In this study, we use a coarse-grain model of protein L, whose two-state kinetics have been characterized in detail by using long-time equilibrium simulations, to rigorously test a FH protocol using approximately 10,000 short-time, uncoupled folding simulations starting from an extended state of the protein. We show that the FH results give non-Poisson distributions and early folding events that are unphysical, whereas longer folding events experience
SUBMITTER: Marianayagam NJ
PROVIDER: S-EPMC1283817 | biostudies-literature | 2005 Nov
REPOSITORIES: biostudies-literature
ACCESS DATA