title: Chemical biology databases: from aggregation, curation to representation.
abstract: Systems chemical biology offers a novel way of approaching drug discovery by developing models that consider the global physiological environment of protein targets and their perturbations by drugs. However, the integration of all these data needs curation and standardization with an appropriate representation in order to get relevant interpretations. In this mini review, we present some databases and services, which integrated together with computational tools and data standardization, could assist scientists in decision making during the different drug development process.
authors.affiliation: Université Paris Diderot - Inserm UMR-S973, MTi, 75013 Paris, France.
authors.forename: Karine
authors.initials: K
authors.lastname: Audouze
authors.affiliation: Université Paris Diderot - Inserm UMR-S973, MTi, 75013 Paris, France. Electronic address: olivier.taboureau@univ-paris-diderot.fr.
authors.forename: Olivier
authors.initials: O
authors.lastname: Taboureau
mesh_terms: D000818:Animals; D019295:Computational Biology; D057225:Data Mining; D016208:Databases, Factual; D055808:Drug Discovery; D006801:Humans