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Biomap Systems
Biomap Systems
Biomap Systems
Biomap Systems
System Biology Resources
System Biology Resources
System Biology Resources
System Biology Resources
System Biology Resources
SDI Animal Model
 

 


Systems Biology
The goal of modern systems biology is to describe and understand the operation of complex biological systems and ultimately to develop predictive models of human disease. “Systems biology” encompasses many different approaches, including the generation and analysis of large scale gene, protein and metabolite datasets; computer modeling of disease or organ system physiology; and the use of complex human cell systems themselves (e.g BioMAP technology) to interpret and predict the biological activities of drugs and gene targets.

 

Systems biology and drug discovery
”Systems biology” approaches offer the potential to improve decision making in pharmaceutical drug development by accelerating hypothesis-driven biology, the selection and validation of drug targets and lead compounds, and identification of surrogate markers for clinical studies. Complex cell systems technologies, such as BioMAP, integrate a broad range of disease-relevant human biology into the drug discovery process, informing target and compound validation, lead optimization, and clinical indication selection. For further reading, see Butcher EC, Berg EL, Kunkel EJ. Systems Biology in Drug Discovery (below).

 

 

Books  & Articles

 

Aderem, A. “Systems biology: its practice and challenges.” Cell. 2005 May 20;121(4):511-3. PMID: 15907465

 

Butcher EC, Berg EL, Kunkel EJ. Systems biology in drug discovery. [pdf]
Nat Biotechnol. 2004 Oct;22(10):1253-9. PMID: 15470465

 

Christopher R, Dhiman A, Fox J, Gendelman R, Haberitcher T, Kagle D, Spizz G, Khalil IG, Hill C.  Data-driven computer simulation of human cancer cell.  Ann N Y Acad Sci. 2004 May;1020:132-53. PMID: 15208190

 

Davidson EH, Rast JP, Oliveri P, Ransick A, Calestani C, Yuh CH, Minokawa T, Amore G, Hinman V, Arenas-Mena C, Otim O, Brown CT, Livi CB, Lee PY, Revilla R, Rust AG, Pan Z, Schilstra MJ, Clarke PJ, Arnone MI, Rowen L, Cameron RA, McClay DR, Hood L, Bolouri H. A genomic regulatory network for development. Science. 2002 Mar 1;295(5560):1669-78. PMID: 11872831

 

Huang S. Back to the biology in systems biology: what can we learn from biomolecular networks? Brief Funct Genomic Proteomic. 2004 Feb;2(4):279-97. PMID 15163364

 

Hood L, Heath JR, Phelps ME, Lin B. Systems biology and new technologies enable predictive and preventative medicine. Science. 2004 Oct 22;306(5696):640-3. PMID 15499008

 

Ideker T, Lauffenburger D. Building with a scaffold: emerging strategies for high- to low-level cellular modeling. Trends Biotechnol. 2003 Jun;21(6):255-62. PMID 12788545

 

Janes KA, Lauffenburger DA. A biological approach to computational models of proteomic networks.  Curr Opin Chem Biol. 2006 Feb;10(1):73-80. PMID: 16406679

 

Kitano H. Systems biology: a brief overview. Science. 2002 Mar 1;295(5560):1662-4. PMID 11872829

 

Nicholson JK, Wilson ID.   Opinion: understanding 'global' systems biology: metabonomics and the continuum of metabolism.  Nat Rev Drug Discov. 2003 Aug;2(8):668-76. PMID: 12904817

 

Thomas CE, Ganji G.  Integration of genomic and metabonomic data in systems biology--are we 'there' yet?  Curr Opin Drug Discov Devel. 2006 Jan;9(1):92-100. PMID: 16445121

 

Foundations of Systems Biology, Hiraoki Kitano, ed., The MIT Press

From MIT Press

From amazon.com

PDF of the first chapters

From genetic-programming.com

 

Walter Sneader, Drug Discovery, A History

http://www.wiley.com

 

 

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