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| DOI | 10.7717/PEERJ.5998 | ||||
| Año | 2018 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Protein structure is not static; residues undergo conformational rearrangements and, in doing so, create, stabilize or break non-covalent interactions. Molecular dynamics (MD) is a technique used to simulate these movements with atomic resolution. However, given the data-intensive nature of the technique, gathering relevant information from MD simulations is a complex and time consuming process requiring several computational tools to perform these analyses. Among different approaches, the study of residue interaction networks (RINs) has proven to facilitate the study of protein structures. In a RIN, nodes represent amino-acid residues and the connections between them depict non-covalent interactions. Here, we describe residue interaction networks in protein molecular dynamics (RIP-MD), a visual molecular dynamics (VMD) plugin to facilitate the study of RINs using trajectories obtained from MD simulations of proteins. Our software generates RINs from MD trajectory files. The non-covalent interactions defined by RIP-MD include H-bonds, salt bridges, VdWs, cation-pi, pi-pi, Arginine-Arginine, and Coulomb interactions. In addition, RIP-MD also computes interactions based on distances between C(x)s and disulfide bridges. The results of the analysis are shown in an user friendly interface. Moreover, the user can take advantage of the VMD visualization capacities, whereby through some effortless steps, it is possible to select and visualize interactions described for a single, several or all residues in a MD trajectory. Network and descriptive table files are also generated, allowing their further study in other specialized platforms. Our method was written in python in a parallelized fashion. This characteristic allows the analysis of large systems impossible to handle otherwise. RIP-MD is available at http://www.dlab.cl/ripmd.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Contreras-Riquelme, Sebastian | Hombre |
Fundación Ciencia y Vida - Chile
Universidad Nacional Andrés Bello - Chile Universidad Mayor - Chile Fundación Ciencia para la Vida - Chile |
| 2 | GARATE-CHATEAU, JOSE ANTONIO | Hombre |
Instituto Milenio Centro Interdisciplinario de Neurociencia de Valparaíso - Chile
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| 3 | PÉREZ-ACLE, TOMÁS | Hombre |
Fundación Ciencia y Vida - Chile
Instituto Milenio Centro Interdisciplinario de Neurociencia de Valparaíso - Chile Fundación Ciencia para la Vida - Chile |
| 4 | Martin, Alberto J. M. | Hombre |
Universidad Mayor - Chile
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| Fuente |
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| FONDECYT |
| US Air Force Office of Scientific Research |
| Programa de Apoyo a Centros con Financiamiento Basal |
| Beca de Asistencia Academica from Universidad Nacional Andres Bello |
| Chilean National Laboratory for High Performance Computing (NLHPC) |
| ICM-Economia project |
| Agradecimiento |
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| This work was partially supported by Programa de Apoyo a Centros con Financiamiento Basal AFB 17004 to Fundacion Ciencia Vida; ICM-Economia project to Instituto Milenio Centro Interdisciplinario de Neurociencias de Valparaiso (CINV) [P09-022-F]; FONDECYT projects [1160574, 11140342, 1181089]; from the US Air Force Office of Scientific Research [FA9550-16-1-0384]; and Beca de Asistencia Academica from Universidad Nacional Andres Bello to Sebastian Contreras-Riquelme. This research was also supported by the supercomputing infrastructure of the Chilean National Laboratory for High Performance Computing (NLHPC) [ECM-02]. There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. |