title: [System biology and synthetic biology modify drug discovery and development].
abstract: Life Sciences are built on observations. Right now, a more systemic approach allowing to integrate the different organizational levels in Biology is emerging. Such an approach uses a set of technologies and strategies allowing to build models that appear to be more and more predictive (omics, bioinformatics, integrative biology, computational biology…). Those models accelerate the rational development of new therapies avoiding an engineering based only on trials and errors. This approach both holistic and predictive radically modifies the discovery and development modalities used today in health industries. Moreover, because of the apparition of new jobs at the interface of disciplines, of private and public sectors and of life sciences and engineering sciences, this implies to rethink the training programs in both their contents and their pedagogical tools.
authors.affiliation: Laboratoire d'innovation thérapeutique et université de Strasbourg UMR CNR 7200, Illkirch France. haiech@unistra.fr
authors.forename: Jacques
authors.initials: J
authors.lastname: Haiech
authors.forename: Raoul
authors.initials: R
authors.lastname: Ranjeva
authors.forename: Marie-Claude
authors.initials: MC
authors.lastname: Kilhoffer
mesh_terms: D001698:Biomedical Engineering / Q000379:methods / Q000639:trends; D003585:Cell Biology / Q000639:trends; D019295:Computational Biology / Q000379:methods; D015195:Drug Design; D055808:Drug Discovery / Q000379:methods / Q000639:trends*; D006801:Humans; D008954:Models, Biological; D058615:Synthetic Biology / Q000379:methods / Q000639:trends*; D049490:Systems Biology / Q000379:methods / Q000639:trends*