Abstract Molecular dynamics (MD)simulation allows one to predict the timeevolution of a systemof interacting particles. It is widely used in physics, chemistry and biology to address specific questions about the structural properties and dynamical mechanisms of modelsystems. MDearnedagreatsuccessin genomeresearch, as it provedto be beneficial in sorting pathogenic from neutral genomic mutations. Considering their computational requirements, simulations are commonly performed on high performance computing (HPC) 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 makethe commodity hardwaredefinitelysuitablefor MDstudies. This work aims to shedlights on this aspect.

Biagini, T., Chillemi, G., Mazzoccoli, G., Grottesi, A., Fusilli, C., Capocefalo, D., et al. (2017). Molecular Dynamics Recipes for Genome Research. BRIEFINGS IN BIOINFORMATICS [10.1093/bib/bbx006].

Molecular Dynamics Recipes for Genome Research

Chillemi G;
2017-01-01

Abstract

Abstract Molecular dynamics (MD)simulation allows one to predict the timeevolution of a systemof interacting particles. It is widely used in physics, chemistry and biology to address specific questions about the structural properties and dynamical mechanisms of modelsystems. MDearnedagreatsuccessin genomeresearch, as it provedto be beneficial in sorting pathogenic from neutral genomic mutations. Considering their computational requirements, simulations are commonly performed on high performance computing (HPC) 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 makethe commodity hardwaredefinitelysuitablefor MDstudies. This work aims to shedlights on this aspect.
2017
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore AGRI-09/A - Zootecnia generale e miglioramento genetico
English
Con Impact Factor ISI
molecular dynamics; GPU computing; bioinformatics; genomics
Biagini, T., Chillemi, G., Mazzoccoli, G., Grottesi, A., Fusilli, C., Capocefalo, D., et al. (2017). Molecular Dynamics Recipes for Genome Research. BRIEFINGS IN BIOINFORMATICS [10.1093/bib/bbx006].
Biagini, T; Chillemi, G; Mazzoccoli, G; Grottesi, A; Fusilli, C; Capocefalo, D; Castellana, S; Vescovi, Al; Mazza, T
Articolo su rivista
File in questo prodotto:
File Dimensione Formato  
bbx006.pdf

solo utenti autorizzati

Tipologia: Versione Editoriale (PDF)
Licenza: Copyright dell'editore
Dimensione 1.27 MB
Formato Adobe PDF
1.27 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/397496
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 26
  • ???jsp.display-item.citation.isi??? 25
social impact