Literature DB >> 26234208

Protein structure refinement via molecular-dynamics simulations: What works and what does not?

Michael Feig1,2, Vahid Mirjalili3,4.   

Abstract

Protein structure refinement during CASP11 by the Feig group was described. Molecular dynamics simulations were used in combination with an improved selection and averaging protocol. On average, modest refinement was achieved with some targets improved significantly. Analysis of the CASP submission from our group focused on refinement success versus amount of sampling, refinement of different secondary structure elements and whether refinement varied as a function of which group provided initial models. The refinement of local stereochemical features was examined via the MolProbity score and an updated protocol was developed that can generate high-quality structures with very low MolProbity scores for most starting structures with modest computational effort. Proteins 2016; 84(Suppl 1):282-292.
© 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  CASP; Molprobity; protein; scoring; structure prediction

Mesh:

Substances:

Year:  2015        PMID: 26234208      PMCID: PMC5493977          DOI: 10.1002/prot.24871

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  35 in total

1.  Accurate reconstruction of all-atom protein representations from side-chain-based low-resolution models.

Authors:  M Feig; P Rotkiewicz; A Kolinski; J Skolnick; C L Brooks
Journal:  Proteins       Date:  2000-10-01

2.  How fast-folding proteins fold.

Authors:  Kresten Lindorff-Larsen; Stefano Piana; Ron O Dror; David E Shaw
Journal:  Science       Date:  2011-10-28       Impact factor: 47.728

3.  Refinement of protein termini in template-based modeling using conformational space annealing.

Authors:  Hahnbeom Park; Junsu Ko; Keehyoung Joo; Julian Lee; Chaok Seok; Jooyoung Lee
Journal:  Proteins       Date:  2011-07-13

4.  GRID: a high-resolution protein structure refinement algorithm.

Authors:  Mohsen Chitsaz; Stephen L Mayo
Journal:  J Comput Chem       Date:  2012-10-15       Impact factor: 3.376

5.  CASP10 results compared to those of previous CASP experiments.

Authors:  Andriy Kryshtafovych; Krzysztof Fidelis; John Moult
Journal:  Proteins       Date:  2013-12-17

6.  Assessment of template-based protein structure predictions in CASP10.

Authors:  Yuanpeng J Huang; Binchen Mao; James M Aramini; Gaetano T Montelione
Journal:  Proteins       Date:  2014-02

7.  Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone φ, ψ and side-chain χ(1) and χ(2) dihedral angles.

Authors:  Robert B Best; Xiao Zhu; Jihyun Shim; Pedro E M Lopes; Jeetain Mittal; Michael Feig; Alexander D Mackerell
Journal:  J Chem Theory Comput       Date:  2012-07-18       Impact factor: 6.006

8.  Protein structure refinement of CASP target proteins using GNEIMO torsional dynamics method.

Authors:  Adrien B Larsen; Jeffrey R Wagner; Abhinandan Jain; Nagarajan Vaidehi
Journal:  J Chem Inf Model       Date:  2014-01-16       Impact factor: 4.956

9.  Evaluation of unrestrained replica-exchange simulations using dynamic walkers in temperature space for protein structure refinement.

Authors:  Mark A Olson; Michael S Lee
Journal:  PLoS One       Date:  2014-05-21       Impact factor: 3.240

10.  MolProbity: all-atom structure validation for macromolecular crystallography.

Authors:  Vincent B Chen; W Bryan Arendall; Jeffrey J Headd; Daniel A Keedy; Robert M Immormino; Gary J Kapral; Laura W Murray; Jane S Richardson; David C Richardson
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2009-12-21
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  25 in total

Review 1.  Force field development and simulations of intrinsically disordered proteins.

Authors:  Jing Huang; Alexander D MacKerell
Journal:  Curr Opin Struct Biol       Date:  2017-11-05       Impact factor: 6.809

2.  Ligand-Binding-Site Structure Refinement Using Molecular Dynamics with Restraints Derived from Predicted Binding Site Templates.

Authors:  Hugo Guterres; Hui Sun Lee; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2019-10-14       Impact factor: 6.006

3.  Using NMR Chemical Shifts and Cryo-EM Density Restraints in Iterative Rosetta-MD Protein Structure Refinement.

Authors:  Sumudu P Leelananda; Steffen Lindert
Journal:  J Chem Inf Model       Date:  2019-12-24       Impact factor: 4.956

4.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

5.  PREFMD: a web server for protein structure refinement via molecular dynamics simulations.

Authors:  Lim Heo; Michael Feig
Journal:  Bioinformatics       Date:  2018-03-15       Impact factor: 6.937

6.  Driven to near-experimental accuracy by refinement via molecular dynamics simulations.

Authors:  Lim Heo; Collin F Arbour; Michael Feig
Journal:  Proteins       Date:  2019-06-24

7.  High-accuracy protein structures by combining machine-learning with physics-based refinement.

Authors:  Lim Heo; Michael Feig
Journal:  Proteins       Date:  2019-11-15

8.  Protein structure model refinement in CASP12 using short and long molecular dynamics simulations in implicit solvent.

Authors:  Genki Terashi; Daisuke Kihara
Journal:  Proteins       Date:  2017-09-01

9.  Discrimination of Native-like States of Membrane Proteins with Implicit Membrane-based Scoring Functions.

Authors:  Bercem Dutagaci; Kitiyaporn Wittayanarakul; Takaharu Mori; Michael Feig
Journal:  J Chem Theory Comput       Date:  2017-05-11       Impact factor: 6.006

10.  Structure refinement of membrane proteins via molecular dynamics simulations.

Authors:  Bercem Dutagaci; Lim Heo; Michael Feig
Journal:  Proteins       Date:  2018-05-06
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