Building a disease knowledge environment to lay the foundations for in silico drug discovery and translational medicine

Expert Opinion on Drug Discovery

Volumn 5, Issue 2, 2010, Pages 117-122

  Kant, Caroline S ^a   Ibberson, Mark R ^a   Scheer, Alexander ^a  

^a MERCK SERONO S A   (Switzerland)

Author keywords

Disease information; Knowledge discovery; Knowledge management; Systems biology; Translational medicine

Indexed keywords

COMPUTER MODEL; DATA SYNTHESIS; DRUG RESEARCH; GENE EXPRESSION; GENETIC RISK; HUMAN; INFORMATION STORAGE; KNOWLEDGE; KNOWLEDGE MANAGEMENT; MEDICAL INFORMATION; METABOLOMICS; PATHOPHYSIOLOGY; PRIORITY JOURNAL; PROTEOMICS; REVIEW; SYSTEMS BIOLOGY;

EID: 75649150777     PISSN: 17460441     EISSN: None     Source Type: Journal    
DOI: 10.1517/17460440903548226     Document Type: Review

References (19)

1. Jensen LJ, Saric J, Bork P. Literature mining for the biologist: from information retrieval to biological discovery. Nat Rev Genet 2006;7(2):119-129
2. Renear AH, Palmer CL. Strategic reading, ontologies, and the future of scientific publishing. Science 2009;325(5942):828-832
3. Kola I. The state of innovation in drug development. Clinical pharmacology and therapeutics 2008;83(2):227-230
4. Pache RA, Zanzoni A, Naval J, et al. Towards a molecular characterisation of pathological pathways. FEBS Lett 2008;582(8):1259-1265
5. Kitano H. Systems biology: a brief overview. Science 2002;295(5560):1662- 1664
6. Butcher EC, Berg EL, Kunkel EJ. Systems biology in drug discovery. Nat Biotechnol 2004;22(10):1253-1259
7. Vodovotz Y, Constantine G, Rubin J, et al. Mechanistic simulations of inflammation: current state and future prospects. Math Biosci 2009;217(1):1-10
8. Wild DJ. Mining large heterogeneous data sets in drug discovery. Expert Opin Drug Discov 2009;4(10):995-1004
9. Hirschhorn JN, Daly MJ. Genome-wide association studies for common diseases and complex traits. Nat Rev Genet 2005;6(2):95-108
10. Cho JH. The genetics and immunopathogenesis of inflammatory bowel disease. Nat Rev Immunol 2008;8(6):458-466
11. Antezana E, Egana M, Blonde W, et al. The Cell Cycle Ontology: an application ontology for the representation and integrated analysis of the cell cycle process. Genome Biol 2009;10(5):R58
12. Davenport TH, Peitsch MC. Human aspects of the management of drug discovery knowledge. Drug Discov Today Technol 2005;2(3):205-209
13. Manning M, Aggarwal A, Gao K, Tucker-Kellogg G. Scaling the walls of discovery: using semantic metadata for integrative problem solving. Brief Bioinform 2009;10(2):164-176
14. Slater T, Bouton C, Huang ES. Beyond data integration. Drug Discov Today 2008;13(13-14):584-589
15. Gruber TR. Toward principles for the design of ontologies used for knowledge sharing? Int J HumComput Stud 1995;43(5-6):907-928
16. Ingenuity® Answers enables biological content access of Ingenuity Systems, Inc. (www.ingenuity.com) knowledgebase
17. Hartley RT, Barnden JA. Semantic networks: visualizations of knowledge. Trends Cogn Sci 1997:1(5):169-175
18. Le Novere N, Hucka M, Mi H, et al. The systems biology graphical notation. Nat Biotechnol 2009;27(8):735-741
19. Funahashi A, Matsuoka Y, Jouraku A, et al. Cell designer 3.5: a versatile modeling tool for biochemical networks. Proc IEEE 2008;96(8):1254-1265