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Enhancing MD simulations: ASGARD's automated analysis for GROMACS.
Rodríguez-Martínez, Alejandro; Nelen, Jochem; Carmena-Bargueño, Miguel; Martínez-Cortés, Carlos; Luque, Irene; Pérez-Sánchez, Horacio.
Afiliación
  • Rodríguez-Martínez A; Structural Bioinformatics and High Performance Computing Research Group (BIO-HPC), UCAM Universidad Católica de Murcia (UCAM), Murcia, Spain.
  • Nelen J; Departamento de Química Física, Instituto de Biotecnología y Unidad de Excelencia de Química aplicada a Biomedicina y Medioambiente Universidad de Granada. Campus Fuentenueva s/n, Granada, Spain.
  • Carmena-Bargueño M; Structural Bioinformatics and High Performance Computing Research Group (BIO-HPC), UCAM Universidad Católica de Murcia (UCAM), Murcia, Spain.
  • Martínez-Cortés C; Structural Bioinformatics and High Performance Computing Research Group (BIO-HPC), UCAM Universidad Católica de Murcia (UCAM), Murcia, Spain.
  • Luque I; Structural Bioinformatics and High Performance Computing Research Group (BIO-HPC), UCAM Universidad Católica de Murcia (UCAM), Murcia, Spain.
  • Pérez-Sánchez H; Departamento de Química Física, Instituto de Biotecnología y Unidad de Excelencia de Química aplicada a Biomedicina y Medioambiente Universidad de Granada. Campus Fuentenueva s/n, Granada, Spain.
J Biomol Struct Dyn ; : 1-13, 2024 May 16.
Article en En | MEDLINE | ID: mdl-38752848
ABSTRACT
Molecular Dynamics (MD) simulations are essential in analyzing the physical movement of molecules, with GROMACS being a widely recognized open-source package for this purpose. However, conducting analyses individually in GROMACS can take excessive time and effort. Addressing this challenge, we introduce ASGARD, an innovative workflow designed to streamline and automate the analysis of MD simulation of protein or protein-ligand complex. Unlike the traditional, manual approach, ASGARD enables researchers to generate comprehensive analyses with a single command line, significantly accelerating the research process and avoiding the laborious task of manual report generation. This tool automatically performs a range of analyses post-simulation, including system stability and flexibility assessments through RMSD Fluctuation and Distribution calculations. It further provides dynamic analysis using SASA, DSSP method graphs, and various interaction analyses. A key feature of ASGARD is its user-friendly design; it requires no additional installations or dependencies, making it highly accessible for researchers. In conclusion, ASGARD simplifies the MD simulation analysis process and substantially enhances efficiency and productivity in molecular research by providing an integrated, one-command analysis solution.Communicated by Ramaswamy H. Sarma.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Biomol Struct Dyn Año: 2024 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Biomol Struct Dyn Año: 2024 Tipo del documento: Article País de afiliación: España