Literature DB >> 22025759

Molecular dynamics trajectory compression with a coarse-grained model.

Yi-Ming Cheng1, Srinivasa Murthy Gopal, Sean M Law, Michael Feig.   

Abstract

Molecular dynamics trajectories are very data-intensive thereby limiting sharing and archival of such data. One possible solution is compression of trajectory data. Here, trajectory compression based on conversion to the coarse-grained model PRIMO is proposed. The compressed data is about one third of the original data and fast decompression is possible with an analytical reconstruction procedure from PRIMO to all-atom representations. This protocol largely preserves structural features and to a more limited extent also energetic features of the original trajectory.

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Year:  2011        PMID: 22025759      PMCID: PMC3505254          DOI: 10.1109/TCBB.2011.141

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  29 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.  Improved treatment of the protein backbone in empirical force fields.

Authors:  Alexander D MacKerell; Michael Feig; Charles L Brooks
Journal:  J Am Chem Soc       Date:  2004-01-28       Impact factor: 15.419

3.  MoDEL (Molecular Dynamics Extended Library): a database of atomistic molecular dynamics trajectories.

Authors:  Tim Meyer; Marco D'Abramo; Adam Hospital; Manuel Rueda; Carles Ferrer-Costa; Alberto Pérez; Oliver Carrillo; Jordi Camps; Carles Fenollosa; Dmitry Repchevsky; Josep Lluis Gelpí; Modesto Orozco
Journal:  Structure       Date:  2010-11-10       Impact factor: 5.006

4.  Ten-microsecond molecular dynamics simulation of a fast-folding WW domain.

Authors:  Peter L Freddolino; Feng Liu; Martin Gruebele; Klaus Schulten
Journal:  Biophys J       Date:  2008-03-13       Impact factor: 4.033

Review 5.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

6.  Dynameomics: a multi-dimensional analysis-optimized database for dynamic protein data.

Authors:  Catherine Kehl; Andrew M Simms; Rudesh D Toofanny; Valerie Daggett
Journal:  Protein Eng Des Sel       Date:  2008-04-14       Impact factor: 1.650

7.  Trajectory NG: portable, compressed, general molecular dynamics trajectories.

Authors:  Daniel Spångberg; Daniel S D Larsson; David van der Spoel
Journal:  J Mol Model       Date:  2011-01-26       Impact factor: 1.810

8.  PRIMO/PRIMONA: a coarse-grained model for proteins and nucleic acids that preserves near-atomistic accuracy.

Authors:  Srinivasa M Gopal; Shayantani Mukherjee; Yi-Ming Cheng; Michael Feig
Journal:  Proteins       Date:  2010-04

9.  Generalized born model with a simple smoothing function.

Authors:  Wonpil Im; Michael S Lee; Charles L Brooks
Journal:  J Comput Chem       Date:  2003-11-15       Impact factor: 3.376

10.  HAAD: A quick algorithm for accurate prediction of hydrogen atoms in protein structures.

Authors:  Yunqi Li; Ambrish Roy; Yang Zhang
Journal:  PLoS One       Date:  2009-08-20       Impact factor: 3.240

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  4 in total

1.  PRIMO: A Transferable Coarse-grained Force Field for Proteins.

Authors:  Parimal Kar; Srinivasa Murthy Gopal; Yi-Ming Cheng; Alexander Predeus; Michael Feig
Journal:  J Chem Theory Comput       Date:  2013-08-13       Impact factor: 6.006

Review 2.  Recent advances in transferable coarse-grained modeling of proteins.

Authors:  Parimal Kar; Michael Feig
Journal:  Adv Protein Chem Struct Biol       Date:  2014-08-24       Impact factor: 3.507

3.  Hybrid All-Atom/Coarse-Grained Simulations of Proteins by Direct Coupling of CHARMM and PRIMO Force Fields.

Authors:  Parimal Kar; Michael Feig
Journal:  J Chem Theory Comput       Date:  2017-10-19       Impact factor: 6.006

4.  Transferring the PRIMO Coarse-Grained Force Field to the Membrane Environment: Simulations of Membrane Proteins and Helix-Helix Association.

Authors:  Parimal Kar; Srinivasa Murthy Gopal; Yi-Ming Cheng; Afra Panahi; Michael Feig
Journal:  J Chem Theory Comput       Date:  2014-06-16       Impact factor: 6.006

  4 in total

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