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Assessment of the utility of contact‐based restraints in accelerating the prediction of protein structure using molecular dynamics simulations
Author(s) -
Raval Alpan,
Piana Stefano,
Eastwood Michael P.,
Shaw David E.
Publication year - 2016
Publication title -
protein science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.353
H-Index - 175
eISSN - 1469-896X
pISSN - 0961-8368
DOI - 10.1002/pro.2770
Subject(s) - molecular dynamics , protein structure prediction , casp , benchmark (surveying) , millisecond , computer science , native state , protein structure , biological system , statistical physics , threading (protein sequence) , speedup , microsecond , chemistry , physics , computational chemistry , crystallography , biology , biochemistry , geodesy , astronomy , geography , operating system
Molecular dynamics (MD) simulation is a well‐established tool for the computational study of protein structure and dynamics, but its application to the important problem of protein structure prediction remains challenging, in part because extremely long timescales can be required to reach the native structure. Here, we examine the extent to which the use of low‐resolution information in the form of residue–residue contacts, which can often be inferred from bioinformatics or experimental studies, can accelerate the determination of protein structure in simulation. We incorporated sets of 62, 31, or 15 contact‐based restraints in MD simulations of ubiquitin, a benchmark system known to fold to the native state on the millisecond timescale in unrestrained simulations. One‐third of the restrained simulations folded to the native state within a few tens of microseconds—a speedup of over an order of magnitude compared with unrestrained simulations and a demonstration of the potential for limited amounts of structural information to accelerate structure determination. Almost all of the remaining ubiquitin simulations reached near‐native conformations within a few tens of microseconds, but remained trapped there, apparently due to the restraints. We discuss potential methodological improvements that would facilitate escape from these near‐native traps and allow more simulations to quickly reach the native state. Finally, using a target from the Critical Assessment of protein Structure Prediction (CASP) experiment, we show that distance restraints can improve simulation accuracy: In our simulations, restraints stabilized the native state of the protein, enabling a reasonable structural model to be inferred.