Literature DB >> 28833585

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

Genki Terashi1, Daisuke Kihara1,2.   

Abstract

Protein structure prediction has matured over years, particularly those which use structure templates for building a model. It can build a model with correct overall conformation in cases where appropriate templates are available. Models with the correct topology can be practically useful for limited purposes that need residue-level accuracy, but further improvement of the models can allow the models to be used in tasks that need detailed structures, such as molecular replacement in X-ray crystallography or structure-based drug screening. Thus, model refinement is an important final step in protein structure prediction to bridge predictions to real-life applications. Model refinement is one of the categories in recent rounds of critical assessment of techniques in protein structure prediction (CASP) and has recently been drawing more attention due to its realized importance. Here we report our group's performance in the refinement category in CASP12. Our method is based on inexpensive short molecular dynamics (MD) simulations in implicit solvent. Our performance in CASP12 was among the top, which was consistent with the previous round, CASP11. Our method with short MD runs achieved comparable performance with other methods that used longer simulations. Detailed analyses found that improvements typically occurred in entire regions of a structure rather than only in flexible loop regions. The remaining challenge in the structure refinement includes large conformational refinement which involves substantial motions of secondary structure elements or domains.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  CASP; computational method; molecular dynamics; protein structure prediction; protein structure refinement; structure modeling; template-based modeling

Mesh:

Substances:

Year:  2017        PMID: 28833585      PMCID: PMC5820213          DOI: 10.1002/prot.25373

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


  35 in total

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Journal:  Proteins       Date:  1995-11

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

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

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

7.  Critical assessment of methods of protein structure prediction: Progress and new directions in round XI.

Authors:  John Moult; Krzysztof Fidelis; Andriy Kryshtafovych; Torsten Schwede; Anna Tramontano
Journal:  Proteins       Date:  2016-06-01

8.  CASP9 results compared to those of previous CASP experiments.

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Authors:  Lisa N Kinch; Wenlin Li; Bohdan Monastyrskyy; Andriy Kryshtafovych; Nick V Grishin
Journal:  Proteins       Date:  2016-01-20
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  6 in total

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Authors:  Dzmitry Padhorny; Kathryn A Porter; Mikhail Ignatov; Andrey Alekseenko; Dmitri Beglov; Sergei Kotelnikov; Ryota Ashizawa; Israel Desta; Nawsad Alam; Zhuyezi Sun; Emiliano Brini; Ken Dill; Ora Schueler-Furman; Sandor Vajda; Dima Kozakov
Journal:  Proteins       Date:  2020-03-23

3.  Evaluation of model refinement in CASP14.

Authors:  Adam J Simpkin; Filomeno Sánchez Rodríguez; Shahram Mesdaghi; Andriy Kryshtafovych; Daniel J Rigden
Journal:  Proteins       Date:  2021-07-29

4.  Protein Structure Refinement Using Multi-Objective Particle Swarm Optimization with Decomposition Strategy.

Authors:  Cheng-Peng Zhou; Di Wang; Xiaoyong Pan; Hong-Bin Shen
Journal:  Int J Mol Sci       Date:  2021-04-23       Impact factor: 5.923

5.  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

Review 6.  Methods for the Refinement of Protein Structure 3D Models.

Authors:  Recep Adiyaman; Liam James McGuffin
Journal:  Int J Mol Sci       Date:  2019-05-09       Impact factor: 5.923

  6 in total

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