Literature DB >> 24638223

ST-analyzer: a web-based user interface for simulation trajectory analysis.

Jong Cheol Jeong1, Sunhwan Jo, Emilia L Wu, Yifei Qi, Viviana Monje-Galvan, Min Sun Yeom, Lev Gorenstein, Feng Chen, Jeffery B Klauda, Wonpil Im.   

Abstract

Molecular dynamics (MD) simulation has become one of the key tools to obtain deeper insights into biological systems using various levels of descriptions such as all-atom, united-atom, and coarse-grained models. Recent advances in computing resources and MD programs have significantly accelerated the simulation time and thus increased the amount of trajectory data. Although many laboratories routinely perform MD simulations, analyzing MD trajectories is still time consuming and often a difficult task. ST-analyzer, http://im.bioinformatics.ku.edu/st-analyzer, is a standalone graphical user interface (GUI) toolset to perform various trajectory analyses. ST-analyzer has several outstanding features compared to other existing analysis tools: (i) handling various formats of trajectory files from MD programs, such as CHARMM, NAMD, GROMACS, and Amber, (ii) intuitive web-based GUI environment--minimizing administrative load and reducing burdens on the user from adapting new software environments, (iii) platform independent design--working with any existing operating system, (iv) easy integration into job queuing systems--providing options of batch processing either on the cluster or in an interactive mode, and (v) providing independence between foreground GUI and background modules--making it easier to add personal modules or to recycle/integrate pre-existing scripts utilizing other analysis tools. The current ST-analyzer contains nine main analysis modules that together contain 18 options, including density profile, lipid deuterium order parameters, surface area per lipid, and membrane hydrophobic thickness. This article introduces ST-analyzer with its design, implementation, and features, and also illustrates practical analysis of lipid bilayer simulations.
Copyright © 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  hydrophobic thickness; lipid order parameter; membrane bilayer; molecular dynamics

Mesh:

Substances:

Year:  2014        PMID: 24638223     DOI: 10.1002/jcc.23584

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  8 in total

1.  MDTraj: A Modern Open Library for the Analysis of Molecular Dynamics Trajectories.

Authors:  Robert T McGibbon; Kyle A Beauchamp; Matthew P Harrigan; Christoph Klein; Jason M Swails; Carlos X Hernández; Christian R Schwantes; Lee-Ping Wang; Thomas J Lane; Vijay S Pande
Journal:  Biophys J       Date:  2015-10-20       Impact factor: 4.033

2.  CHARMM-GUI Membrane Builder toward realistic biological membrane simulations.

Authors:  Emilia L Wu; Xi Cheng; Sunhwan Jo; Huan Rui; Kevin C Song; Eder M Dávila-Contreras; Yifei Qi; Jumin Lee; Viviana Monje-Galvan; Richard M Venable; Jeffery B Klauda; Wonpil Im
Journal:  J Comput Chem       Date:  2014-08-07       Impact factor: 3.376

3.  Lightweight object oriented structure analysis: tools for building tools to analyze molecular dynamics simulations.

Authors:  Tod D Romo; Nicholas Leioatts; Alan Grossfield
Journal:  J Comput Chem       Date:  2014-10-18       Impact factor: 3.376

4.  Roles of glycans in interactions between gp120 and HIV broadly neutralizing antibodies.

Authors:  Yifei Qi; Sunhwan Jo; Wonpil Im
Journal:  Glycobiology       Date:  2015-11-03       Impact factor: 4.313

5.  libxtc: an efficient library for reading XTC-compressed MD trajectory data.

Authors:  Nikolay A Krylov; Roman G Efremov
Journal:  BMC Res Notes       Date:  2021-04-01

Review 6.  From Data to Knowledge: Systematic Review of Tools for Automatic Analysis of Molecular Dynamics Output.

Authors:  Hanna Baltrukevich; Sabina Podlewska
Journal:  Front Pharmacol       Date:  2022-03-10       Impact factor: 5.810

7.  Local data commons: the sleeping beauty in the community of data commons.

Authors:  Jong Cheol Jeong; Isaac Hands; Jill M Kolesar; Mahadev Rao; Bront Davis; York Dobyns; Joseph Hurt-Mueller; Justin Levens; Jenny Gregory; John Williams; Lisa Witt; Eun Mi Kim; Carlee Burton; Amir A Elbiheary; Mingguang Chang; Eric B Durbin
Journal:  BMC Bioinformatics       Date:  2022-09-23       Impact factor: 3.307

8.  CHARMM-GUI Input Generator for NAMD, GROMACS, AMBER, OpenMM, and CHARMM/OpenMM Simulations Using the CHARMM36 Additive Force Field.

Authors:  Jumin Lee; Xi Cheng; Jason M Swails; Min Sun Yeom; Peter K Eastman; Justin A Lemkul; Shuai Wei; Joshua Buckner; Jong Cheol Jeong; Yifei Qi; Sunhwan Jo; Vijay S Pande; David A Case; Charles L Brooks; Alexander D MacKerell; Jeffery B Klauda; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2015-12-03       Impact factor: 6.006

  8 in total

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