title: Biological complexity and drug discovery: a practical systems biology approach.
abstract: Drugs fail in clinical studies most often from lack of efficacy or unexpected toxicities. These failures result from an inadequate understanding of drug action and follow, in part, from our dependence on drug discovery technologies that do not take into account the complexity of human disease biology. Biological systems exhibit many features of complex engineering systems, including modularity, redundancy, robustness, and emergent properties. Addressing these features has contributed to the successful design of an improved biological assay technology for inflammation drug discovery. This approach, termed Biologically Multiplexed Activity Profiling (BioMAP), involves the statistical analysis of protein datasets generated from novel complex primary human cell-based assay systems. Compound profiling in these systems has revealed that a surprisingly large number of biological mechanisms can be detected and distinguished. Features of these assays relevant to the behaviour of complex systems are described.
authors.affiliation: BioSeek Inc, Burlingame, CA 94010, USA. eberg@bioseekinc.com
authors.forename: E L
authors.initials: EL
authors.lastname: Berg
authors.forename: E J
authors.initials: EJ
authors.lastname: Kunkel
authors.forename: E
authors.initials: E
authors.lastname: Hytopoulos
mesh_terms: D000818:Animals; D001681:Biological Assay / Q000379:methods*; D002468:Cell Physiological Phenomena / Q000187:drug effects*; D003198:Computer Simulation; D015195:Drug Design; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D008954:Models, Biological; D010600:Pharmacology / Q000379:methods*; D015398:Signal Transduction / Q000187:drug effects / Q000502:physiology; D049490:Systems Biology / Q000379:methods*