title: Computational systems chemical biology.
abstract: There is a critical need for improving the level of chemistry awareness in systems biology. The data and information related to modulation of genes and proteins by small molecules continue to accumulate at the same time as simulation tools in systems biology and whole body physiologically based pharmacokinetics (PBPK) continue to evolve. We called this emerging area at the interface between chemical biology and systems biology systems chemical biology (SCB) (Nat Chem Biol 3: 447-450, 2007).The overarching goal of computational SCB is to develop tools for integrated chemical-biological data acquisition, filtering and processing, by taking into account relevant information related to interactions between proteins and small molecules, possible metabolic transformations of small molecules, as well as associated information related to genes, networks, small molecules, and, where applicable, mutants and variants of those proteins. There is yet an unmet need to develop an integrated in silico pharmacology/systems biology continuum that embeds drug-target-clinical outcome (DTCO) triplets, a capability that is vital to the future of chemical biology, pharmacology, and systems biology. Through the development of the SCB approach, scientists will be able to start addressing, in an integrated simulation environment, questions that make the best use of our ever-growing chemical and biological data repositories at the system-wide level. This chapter reviews some of the major research concepts and describes key components that constitute the emerging area of computational systems chemical biology.
authors.affiliation: Department of Biochemistry and Molecular Biology, School of Medicine, University of New Mexico, Albuquerque, NM, USA.
authors.forename: Tudor I
authors.initials: TI
authors.lastname: Oprea
authors.forename: Elebeoba E
authors.initials: EE
authors.lastname: May
authors.forename: Andrei
authors.initials: A
authors.lastname: Leitão
authors.forename: Alexander
authors.initials: A
authors.lastname: Tropsha
mesh_terms: D001695:Biology; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D006801:Humans; D012106:Research; D049490:Systems Biology