Literature DB >> 28334084

Molecular dynamics recipes for genome research.

Tommaso Biagini1, Giovanni Chillemi2, Gianluigi Mazzoccoli3, Alessandro Grottesi4, Caterina Fusilli5, Daniele Capocefalo6, Stefano Castellana1, Angelo Luigi Vescovi7, Tommaso Mazza8.   

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.

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Year:  2018        PMID: 28334084     DOI: 10.1093/bib/bbx006

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  5 in total

1.  Gain of Function of Malate Dehydrogenase 2 and Familial Hyperglycemia.

Authors:  Prapaporn Jungtrakoon Thamtarana; Antonella Marucci; Luca Pannone; Amélie Bonnefond; Serena Pezzilli; Tommaso Biagini; Patinut Buranasupkajorn; Timothy Hastings; Christine Mendonca; Lorella Marselli; Rosa Di Paola; Zuroida Abubakar; Luana Mercuri; Federica Alberico; Elisabetta Flex; Julian Ceròn; Montserrat Porta-de-la-Riva; Ornella Ludovico; Massimo Carella; Simone Martinelli; Piero Marchetti; Tommaso Mazza; Philippe Froguel; Vincenzo Trischitta; Alessandro Doria; Sabrina Prudente
Journal:  J Clin Endocrinol Metab       Date:  2022-02-17       Impact factor: 5.958

2.  Agenesis of the putamen and globus pallidus caused by recessive mutations in the homeobox gene GSX2.

Authors:  Roberta De Mori; Mariasavina Severino; Maria Margherita Mancardi; Danila Anello; Silvia Tardivo; Tommaso Biagini; Valeria Capra; Antonella Casella; Cristina Cereda; Brett R Copeland; Stella Gagliardi; Alessandra Gamucci; Monia Ginevrino; Barbara Illi; Elisa Lorefice; Damir Musaev; Valentina Stanley; Alessia Micalizzi; Joseph G Gleeson; Tommaso Mazza; Andrea Rossi; Enza Maria Valente
Journal:  Brain       Date:  2019-10-01       Impact factor: 13.501

3.  Association of a homozygous GCK missense mutation with mild diabetes.

Authors:  Antonella Marucci; Tommaso Biagini; Rosa Di Paola; Claudia Menzaghi; Grazia Fini; Stefano Castellana; Giuliana Marcella Cardinale; Tommaso Mazza; Vincenzo Trischitta
Journal:  Mol Genet Genomic Med       Date:  2019-06-14       Impact factor: 2.183

4.  MitImpact 3: modeling the residue interaction network of the Respiratory Chain subunits.

Authors:  Stefano Castellana; Tommaso Biagini; Francesco Petrizzelli; Luca Parca; Noemi Panzironi; Viviana Caputo; Angelo Luigi Vescovi; Massimo Carella; Tommaso Mazza
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

5.  KDM6A missense variants hamper H3 histone demethylation in lung squamous cell carcinoma.

Authors:  Tommaso Biagini; Francesco Petrizzelli; Salvatore Daniele Bianco; Niccolò Liorni; Alessandro Napoli; Stefano Castellana; Angelo Luigi Vescovi; Massimo Carella; Viviana Caputo; Tommaso Mazza
Journal:  Comput Struct Biotechnol J       Date:  2022-06-18       Impact factor: 6.155

  5 in total

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