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

Biagini, T., Chillemi, G., Mazzoccoli, G., Grottesi, A., Fusilli, C., Capocefalo, D., et al. (2018). Molecular dynamics recipes for genome research. BRIEFINGS IN BIOINFORMATICS, 19(5), 853-862 [10.1093/bib/bbx006].

Molecular dynamics recipes for genome research

Vescovi, Angelo Luigi
Penultimo
;
2018

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
Articolo in rivista - Articolo scientifico
GPU computing; bioinformatics; genomics; molecular dynamics
English
18-feb-2017
2018
19
5
853
862
none
Biagini, T., Chillemi, G., Mazzoccoli, G., Grottesi, A., Fusilli, C., Capocefalo, D., et al. (2018). Molecular dynamics recipes for genome research. BRIEFINGS IN BIOINFORMATICS, 19(5), 853-862 [10.1093/bib/bbx006].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/191605
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