Literature DB >> 28980073

LiGRO: a graphical user interface for protein-ligand molecular dynamics.

Luciano Porto Kagami1, Gustavo Machado das Neves2, Alan Wilter Sousa da Silva3, Rafael Andrade Caceres4,5, Daniel Fábio Kawano6,7, Vera Lucia Eifler-Lima8.   

Abstract

To speed up the drug-discovery process, molecular dynamics (MD) calculations performed in GROMACS can be coupled to docking simulations for the post-screening analyses of large compound libraries. This requires generating the topology of the ligands in different software, some basic knowledge of Linux command lines, and a certain familiarity in handling the output files. LiGRO-the python-based graphical interface introduced here-was designed to overcome these protein-ligand parameterization challenges by allowing the graphical (non command line-based) control of GROMACS (MD and analysis), ACPYPE (ligand topology builder) and PLIP (protein-binder interactions monitor)-programs that can be used together to fully perform and analyze the outputs of complex MD simulations (including energy minimization and NVT/NPT equilibration). By allowing the calculation of linear interaction energies in a simple and quick fashion, LiGRO can be used in the drug-discovery pipeline to select compounds with a better protein-binding interaction profile. The design of LiGRO allows researchers to freely download and modify the software, with the source code being available under the terms of a GPLv3 license from http://www.ufrgs.br/lasomfarmacia/ligro/ .

Entities:  

Keywords:  Graphical user interface; Gromacs; Molecular dynamics and ACPYPE; Protein-ligand

Mesh:

Substances:

Year:  2017        PMID: 28980073     DOI: 10.1007/s00894-017-3475-9

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  10 in total

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Authors:  Hugo Gutiérrez-de-Terán; Johan Aqvist
Journal:  Methods Mol Biol       Date:  2012

2.  GROMACS: fast, flexible, and free.

Authors:  David Van Der Spoel; Erik Lindahl; Berk Hess; Gerrit Groenhof; Alan E Mark; Herman J C Berendsen
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

Review 3.  Combining docking and molecular dynamic simulations in drug design.

Authors:  Hernán Alonso; Andrey A Bliznyuk; Jill E Gready
Journal:  Med Res Rev       Date:  2006-09       Impact factor: 12.944

4.  GUIMACS - a Java based front end for GROMACS.

Authors:  Pradeep Kota
Journal:  In Silico Biol       Date:  2007

5.  SwissParam: a fast force field generation tool for small organic molecules.

Authors:  Vincent Zoete; Michel A Cuendet; Aurélien Grosdidier; Olivier Michielin
Journal:  J Comput Chem       Date:  2011-05-03       Impact factor: 3.376

6.  Gromita: a fully integrated graphical user interface to gromacs 4.

Authors:  Diamantis Sellis; Dimitrios Vlachakis; Metaxia Vlassi
Journal:  Bioinform Biol Insights       Date:  2009-09-07

7.  Molecular dynamics simulation by GROMACS using GUI plugin for PyMOL.

Authors:  Tomasz Makarewicz; Rajmund Kaźmierkiewicz
Journal:  J Chem Inf Model       Date:  2013-05-06       Impact factor: 4.956

8.  ACPYPE - AnteChamber PYthon Parser interfacE.

Authors:  Alan W Sousa da Silva; Wim F Vranken
Journal:  BMC Res Notes       Date:  2012-07-23

9.  PLIP: fully automated protein-ligand interaction profiler.

Authors:  Sebastian Salentin; Sven Schreiber; V Joachim Haupt; Melissa F Adasme; Michael Schroeder
Journal:  Nucleic Acids Res       Date:  2015-04-14       Impact factor: 16.971

10.  Improvements in GROMACS plugin for PyMOL including implicit solvent simulations and displaying results of PCA analysis.

Authors:  Tomasz Makarewicz; Rajmund Kaźmierkiewicz
Journal:  J Mol Model       Date:  2016-04-23       Impact factor: 1.810

  10 in total
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Authors:  Xueran Kang; Yuxing Sun; Bin Yi; Chenyan Jiang; Xiaojun Yan; Bin Chen; Lixing Lu; Fangze Shi; Yuanbo Luo; Yisheng Chen; Qian Wang; Runjie Shi
Journal:  Front Aging Neurosci       Date:  2022-06-10       Impact factor: 5.702

2.  Molecular insight into Aspergillus oryzae β-mannanase interacting with mannotriose revealed by molecular dynamic simulation study.

Authors:  Uttam Kumar Jana; Gagandeep Singh; Hemant Soni; Brett Pletschke; Naveen Kango
Journal:  PLoS One       Date:  2022-09-16       Impact factor: 3.752

3.  Current trends for customized biomedical software tools.

Authors:  Haseeb Ahmad Khan
Journal:  Bioinformation       Date:  2017-12-31
  3 in total

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