Computational systems biology in drug discovery and development: methods and applications

DOI	Trouver le DOI : https://doi.org/10.1016/j.drudis.2007.02.013
Auteur	Rechercher : Materi, Wayne¹; Rechercher : Wishart, David S.¹
Affiliation	Conseil national de recherches Canada. Institut national de nanotechnologie
Format	Texte, Article
Sujet	algorithms; computational biology; drug design; models, theoretical; software; systems biology; technology, pharmaceutical
Résumé	Computational systems biology is an emerging field in biological simulation that attempts to model or simulate intra- and intercellular events using data gathered from genomic, proteomic or metabolomic experiments. The need to model complex temporal and spatiotemporal processes at many different scales has led to the emergence of numerous techniques, including systems of differential equations, Petri nets, cellular automata simulators, agent-based models and pi calculus. This review provides a brief summary and an assessment of most of these approaches. It also provides examples of how these methods are being used to facilitate drug discovery and development.
Date de publication	2007-03-07
Dans	Drug Discovery Today 12, nº 7-8 : 295–303.
Langue	anglais
Publications évaluées par des pairs	Oui
Identificateur	16876660
Numéro du CNRC	388
Numéro NPARC	12328281
Exporter la notice	Exporter en format RIS
Signaler une correction	Signaler une correction (s'ouvre dans un nouvel onglet)
Identificateur de l’enregistrement	72922a8c-c05f-4c34-b25b-39d792b6ecf2
Enregistrement créé	2009-09-10
Enregistrement modifié	2020-05-10

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