Quantifying the Sources of Kinetic Frustration in Folding Simulations of Small Proteins
Author(s) -
Andrej Savol,
Chakra S. Chennubhotla
Publication year - 2014
Publication title -
journal of chemical theory and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.001
H-Index - 185
eISSN - 1549-9626
pISSN - 1549-9618
DOI - 10.1021/ct500361w
Subject(s) - frustration , folding (dsp implementation) , protein folding , markov chain , native state , chemical physics , conformational ensembles , downhill folding , chemistry , kinetic energy , molecular dynamics , biological system , computer science , biophysics , statistical physics , crystallography , physics , computational chemistry , phi value analysis , biology , biochemistry , machine learning , condensed matter physics , quantum mechanics , electrical engineering , engineering
Experiments and atomistic simulations of polypeptides have revealed structural intermediates that promote or inhibit conformational transitions to the native state during folding. We invoke a concept of "kinetic frustration" to quantify the prevalence and impact of these behaviors on folding rates within a large set of atomistic simulation data for 10 fast-folding proteins, where each protein's conformational space is represented as a Markov state model of conformational transitions. Our graph theoretic approach addresses what conformational features correlate with folding inhibition and therefore permits comparison among features within a single protein network and also more generally between proteins. Nonnative contacts and nonnative secondary structure formation can thus be quantitatively implicated in inhibiting folding for several of the tested peptides.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom