| Literature DB >> 30092279 |
Yuhang Wang1, Mrinal Shekhar1, Darren Thifault2, Christopher J Williams3, Ryan McGreevy1, Jane Richardson3, Abhishek Singharoy4, Emad Tajkhorshid5.
Abstract
Accurate structure determination from electron density maps at 3-5 Å resolution necessitates a balance between extensive global and local sampling of atomistic models, yet with the stereochemical correctness of backbone and sidechain geometries. Molecular Dynamics Flexible Fitting (MDFF), particularly through a resolution-exchange scheme, ReMDFF, provides a robust way of achieving this balance for hybrid structure determination. Employing two high-resolution density maps, namely that of β-galactosidase at 3.2 Å and TRPV1 at 3.4 Å, we showcase the quality of ReMDFF-generated models, comparing them against ones submitted by independent research groups for the 2015-2016 Cryo-EM Model Challenge. This comparison offers a clear evaluation of ReMDFF's strengths and shortcomings, and those of data-guided real-space refinements in general. ReMDFF results scored highly on the various metric for judging the quality-of-fit and quality-of-model. However, some systematic discrepancies are also noted employing a Molprobity analysis, that are reproducible across multiple competition entries. A space of key refinement parameters is explored within ReMDFF to observe their impact within the final model. Choice of force field parameters and initial model seem to have the most significant impact on ReMDFF model-quality. To this end, very recently developed CHARMM36m force field parameters provide now more refined ReMDFF models than the ones originally submitted to the Cryo-EM challenge. Finally, a set of good-practices is prescribed for the community to benefit from the MDFF developments. Published by Elsevier Inc.Entities:
Keywords: Cryo-EM data challenge; Force fields; Hybrid modeling; Molecular dynamics flexible fitting; Resolution-exchange; Structure determination
Mesh:
Year: 2018 PMID: 30092279 PMCID: PMC6394829 DOI: 10.1016/j.jsb.2018.08.003
Source DB: PubMed Journal: J Struct Biol ISSN: 1047-8477 Impact factor: 2.867