Literature DB >> 26773132

SIRAH tools: mapping, backmapping and visualization of coarse-grained models.

Matías R Machado1, Sergio Pantano1.   

Abstract

UNLABELLED: Coarse-grained (CG) models reduce the cost of molecular dynamics simulations keeping the essence of molecular interactions. Still, the diversity of CG representations (sizes, connectivity, naming, etc.) hampers the handling and visualization of such models. SIRAH Tools comprises a set of utilities to convert all-atoms coordinates to arbitrary residue-based CG schemes, write GROMACS' topological information at any resolution into PSF format and a VMD plugin to visualize, analyze and retrieve pseudo-atomistic information from CG trajectories performed with the SIRAH force field. These tools facilitate the use of intricate CG force fields outside the small developer's community.
AVAILABILITY AND IMPLEMENTATION: Different utilities of SIRAH Tools are written in Perl, Tcl, or R. Documentation and source codes are freely distributed at http://www.sirahff.com CONTACT: : mmachado@pasteur.edu.uy or spantano@pasteur.edu.uy.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Mesh:

Year:  2016        PMID: 26773132     DOI: 10.1093/bioinformatics/btw020

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  21 in total

Review 1.  From quantum to subcellular scales: multi-scale simulation approaches and the SIRAH force field.

Authors:  Matías R Machado; Ari Zeida; Leonardo Darré; Sergio Pantano
Journal:  Interface Focus       Date:  2019-04-19       Impact factor: 3.906

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3.  Modeling DMPC lipid membranes with SIRAH force-field.

Authors:  Exequiel E Barrera; Ezequiel N Frigini; Rodolfo D Porasso; Sergio Pantano
Journal:  J Mol Model       Date:  2017-08-10       Impact factor: 1.810

4.  Paired Simulations and Experimental Investigations into the Calcium-Dependent Conformation of Albumin.

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Review 5.  Bottom-up Coarse-Graining: Principles and Perspectives.

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Journal:  J Chem Theory Comput       Date:  2022-09-07       Impact factor: 6.578

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Authors:  Maodong Li; Huaiqing Cao; Luhua Lai; Zhirong Liu
Journal:  Protein Sci       Date:  2018-09       Impact factor: 6.725

Review 8.  Computational Modeling of Realistic Cell Membranes.

Authors:  Siewert J Marrink; Valentina Corradi; Paulo C T Souza; Helgi I Ingólfsson; D Peter Tieleman; Mark S P Sansom
Journal:  Chem Rev       Date:  2019-01-09       Impact factor: 72.087

9.  Fast Calculation of Protein-Protein Binding Free Energies Using Umbrella Sampling with a Coarse-Grained Model.

Authors:  Jagdish Suresh Patel; F Marty Ytreberg
Journal:  J Chem Theory Comput       Date:  2018-01-16       Impact factor: 6.006

10.  Mutation in a SARS-CoV-2 Haplotype from Sub-Antarctic Chile Reveals New Insights into the Spike's Dynamics.

Authors:  Jorge González-Puelma; Jacqueline Aldridge; Marco Montes de Oca; Mónica Pinto; Roberto Uribe-Paredes; José Fernández-Goycoolea; Diego Alvarez-Saravia; Hermy Álvarez; Gonzalo Encina; Thomas Weitzel; Rodrigo Muñoz; Álvaro Olivera-Nappa; Sergio Pantano; Marcelo A Navarrete
Journal:  Viruses       Date:  2021-05-11       Impact factor: 5.048

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