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Molecular dynamics recipes for genome research.
Biagini, Tommaso; Chillemi, Giovanni; Mazzoccoli, Gianluigi; Grottesi, Alessandro; Fusilli, Caterina; Capocefalo, Daniele; Castellana, Stefano; Vescovi, Angelo Luigi; Mazza, Tommaso.
Afiliación
  • Biagini T; Cellular and Molecular Biology.
  • Chillemi G; Biochemistry and Molecular Biology.
  • Mazzoccoli G; American Physiological Society.
  • Grottesi A; Cineca Specialistic User Support group.
  • Fusilli C; Statistics for Biomedicine.
  • Capocefalo D; Life Sciences, `La Sapienza' University of Rome.
  • Castellana S; Cellular and Molecular Biology.
  • Vescovi AL; Bicocca University of Milan.
  • Mazza T; IRCCS Casa Sollievo della Sofferenza, Bioinformatics unit, viale Regina Margherita, Rome, Italy.
Brief Bioinform ; 19(5): 853-862, 2018 09 28.
Article en En | MEDLINE | ID: mdl-28334084
ABSTRACT
Molecular dynamics (MD) simulation allows one to predict the time evolution of a system of interacting particles. It is widely used in physics, chemistry and biology to address specific questions about the structural properties and dynamical mechanisms of model systems. MD earned a great success in genome research, as it proved to be beneficial in sorting pathogenic from neutral genomic mutations. Considering their computational requirements, simulations are commonly performed on HPC computing devices, which are generally expensive and hard to administer. However, variables like the software tool used for modeling and simulation or the size of the molecule under investigation might make one hardware type or configuration more advantageous than another or even make the commodity hardware definitely suitable for MD studies. This work aims to shed lights on this aspect.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Simulación de Dinámica Molecular Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Simulación de Dinámica Molecular Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2018 Tipo del documento: Article