Literature DB >> 33496197

HeroMDAnalysis: an automagical tool for GROMACS-based molecular dynamics simulation analysis.

Ravi Rawat1, Kamal Kant1,2, Anoop Kumar1, Kajal Bhati3, Saurabh M Verma1.   

Abstract

Background & objective: Molecular dynamics simulations (MDS) using GROMACS are among the commonly used computational experiments in the area of molecular biology and drug discovery. This article presents a project called HeroMDAnalysis, an automagical tool to analyze the GROMACS-based MDS trajectories and generate plots as high-quality images for various parameters. Materials & methods: The tool was built using bash shell programming, and graphical user interface was built using Zenity engine. Results & conclusion: This tool offers a simple, semiautomated, and relatively fast framework for what was previously a complex, manual, time-consuming and error-prone task, presenting a useful method for biochemists and synthetic chemists with no prior experience of the command line interface.

Entities:  

Keywords:  Bash and Zenity computational tool development; GROMACS; HeroMDAnalysis; graphical user interface/automation; molecular dynamic simulation

Year:  2021        PMID: 33496197     DOI: 10.4155/fmc-2020-0191

Source DB:  PubMed          Journal:  Future Med Chem        ISSN: 1756-8919            Impact factor:   3.808


  1 in total

1.  Identification of potential Mpro inhibitors for the treatment of COVID-19 by using systematic virtual screening approach.

Authors:  Ashish M Kanhed; Dushyant V Patel; Divya M Teli; Nirav R Patel; Mahesh T Chhabria; Mange Ram Yadav
Journal:  Mol Divers       Date:  2020-07-31       Impact factor: 2.943

  1 in total

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