Literature DB >> 28975670

What makes it difficult to refine protein models further via molecular dynamics simulations?

Lim Heo1, Michael Feig1.   

Abstract

Protein structure refinement remains a challenging yet important problem as it has the potential to bring already accurate template-based models to near-native resolution. Refinement based on molecular dynamics simulations has been a highly promising approach and the performance of MD-based refinement in the Feig group during CASP12 is described here. During CASP12, sampling was extended well into the microsecond scale, an improved force field was applied, and new protocol variations were tested. Progress over previous rounds of CASP was found to be limited which is analyzed in terms of the quality of the initial models and dependency on the amount of sampling and refinement protocol variations. As current MD-based refinement protocols appear to be reaching a plateau, detailed analysis is presented to provide new insight into the major challenges towards more extensive structure refinement, focusing in particular on sampling with and without restraints.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  CASP; Markov state models; homology models; molecular dynamics simulation; protein structure prediction; structure refinement

Mesh:

Substances:

Year:  2017        PMID: 28975670      PMCID: PMC5820117          DOI: 10.1002/prot.25393

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


  30 in total

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Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

4.  Effective protein model structure refinement by loop modeling and overall relaxation.

Authors:  Gyu Rie Lee; Lim Heo; Chaok Seok
Journal:  Proteins       Date:  2015-07-22

5.  Determination of damage-free crystal structure of an X-ray-sensitive protein using an XFEL.

Authors:  Kunio Hirata; Kyoko Shinzawa-Itoh; Naomine Yano; Shuhei Takemura; Koji Kato; Miki Hatanaka; Kazumasa Muramoto; Takako Kawahara; Tomitake Tsukihara; Eiki Yamashita; Kensuke Tono; Go Ueno; Takaaki Hikima; Hironori Murakami; Yuichi Inubushi; Makina Yabashi; Tetsuya Ishikawa; Masaki Yamamoto; Takashi Ogura; Hiroshi Sugimoto; Jian-Ren Shen; Shinya Yoshikawa; Hideo Ago
Journal:  Nat Methods       Date:  2014-05-11       Impact factor: 28.547

6.  Can molecular dynamics simulations provide high-resolution refinement of protein structure?

Authors:  Jianhan Chen; Charles L Brooks
Journal:  Proteins       Date:  2007-06-01

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

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Journal:  Bioinformatics       Date:  2018-03-15       Impact factor: 6.937

8.  MSMBuilder2: Modeling Conformational Dynamics at the Picosecond to Millisecond Scale.

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Journal:  J Chem Theory Comput       Date:  2011-10-11       Impact factor: 6.006

9.  OpenMM 4: A Reusable, Extensible, Hardware Independent Library for High Performance Molecular Simulation.

Authors:  Peter Eastman; Mark S Friedrichs; John D Chodera; Randall J Radmer; Christopher M Bruns; Joy P Ku; Kyle A Beauchamp; Thomas J Lane; Lee-Ping Wang; Diwakar Shukla; Tony Tye; Mike Houston; Timo Stich; Christoph Klein; Michael R Shirts; Vijay S Pande
Journal:  J Chem Theory Comput       Date:  2012-10-18       Impact factor: 6.006

10.  Protein structure determination using metagenome sequence data.

Authors:  Sergey Ovchinnikov; Hahnbeom Park; Neha Varghese; Po-Ssu Huang; Georgios A Pavlopoulos; David E Kim; Hetunandan Kamisetty; Nikos C Kyrpides; David Baker
Journal:  Science       Date:  2017-01-20       Impact factor: 47.728

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  16 in total

1.  Forging tools for refining predicted protein structures.

Authors:  Xingcheng Lin; Nicholas P Schafer; Wei Lu; Shikai Jin; Xun Chen; Mingchen Chen; José N Onuchic; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-18       Impact factor: 11.205

2.  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

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

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

4.  The endoplasmic reticulum acetyltransferases ATase1/NAT8B and ATase2/NAT8 are differentially regulated to adjust engagement of the secretory pathway.

Authors:  Michael J Rigby; Yun Ding; Mark A Farrugia; Michael Feig; Giuseppe P Cortese; Heather Mitchell; Corinna Burger; Luigi Puglielli
Journal:  J Neurochem       Date:  2020-01-27       Impact factor: 5.372

5.  Assessment of the model refinement category in CASP12.

Authors:  Ladislav Hovan; Vladimiras Oleinikovas; Havva Yalinca; Andriy Kryshtafovych; Giorgio Saladino; Francesco Luigi Gervasio
Journal:  Proteins       Date:  2017-11-29

6.  Physics-based protein structure refinement in the era of artificial intelligence.

Authors:  Lim Heo; Giacomo Janson; Michael Feig
Journal:  Proteins       Date:  2021-06-29

7.  Can molecular dynamics simulations improve the structural accuracy and virtual screening performance of GPCR models?

Authors:  Jon Kapla; Ismael Rodríguez-Espigares; Flavio Ballante; Jana Selent; Jens Carlsson
Journal:  PLoS Comput Biol       Date:  2021-05-13       Impact factor: 4.475

8.  Blind prediction of noncanonical RNA structure at atomic accuracy.

Authors:  Andrew M Watkins; Caleb Geniesse; Wipapat Kladwang; Paul Zakrevsky; Luc Jaeger; Rhiju Das
Journal:  Sci Adv       Date:  2018-05-25       Impact factor: 14.136

9.  Improved Sampling Strategies for Protein Model Refinement Based on Molecular Dynamics Simulation.

Authors:  Lim Heo; Collin F Arbour; Giacomo Janson; Michael Feig
Journal:  J Chem Theory Comput       Date:  2021-02-09       Impact factor: 6.006

Review 10.  Combined approaches from physics, statistics, and computer science for ab initio protein structure prediction: ex unitate vires (unity is strength)?

Authors:  Marc Delarue; Patrice Koehl
Journal:  F1000Res       Date:  2018-07-24
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