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Items: 1 to 20 of 119

1.

Systems biology analysis of protein-drug interactions.

Colinge J, Rix U, Bennett KL, Superti-Furga G.

Proteomics Clin Appl. 2012 Jan;6(1-2):102-16. doi: 10.1002/prca.201100077. Epub 2011 Dec 27. Review.

PMID:
22213655
2.

Systems biology approaches and tools for analysis of interactomes and multi-target drugs.

Schrattenholz A, Groebe K, Soskic V.

Methods Mol Biol. 2010;662:29-58. doi: 10.1007/978-1-60761-800-3_2. Review.

PMID:
20824465
3.

What does systems biology mean for drug development?

Schrattenholz A, Soskić V.

Curr Med Chem. 2008;15(15):1520-8. Review.

PMID:
18537627
4.

[Development of antituberculous drugs: current status and future prospects].

Tomioka H, Namba K.

Kekkaku. 2006 Dec;81(12):753-74. Review. Japanese.

PMID:
17240921
5.

A large-scale computational approach to drug repositioning.

Li YY, An J, Jones SJ.

Genome Inform. 2006;17(2):239-47.

PMID:
17503396
6.

Use of ligand based models for protein domains to predict novel molecular targets and applications to triage affinity chromatography data.

Bender A, Mikhailov D, Glick M, Scheiber J, Davies JW, Cleaver S, Marshall S, Tallarico JA, Harrington E, Cornella-Taracido I, Jenkins JL.

J Proteome Res. 2009 May;8(5):2575-85. doi: 10.1021/pr900107z.

PMID:
19271732
7.

Large-scale prediction of drug-target relationships.

Kuhn M, Campillos M, González P, Jensen LJ, Bork P.

FEBS Lett. 2008 Apr 9;582(8):1283-90. doi: 10.1016/j.febslet.2008.02.024. Epub 2008 Feb 20. Review.

8.

Biochemical network-based drug-target prediction.

Klipp E, Wade RC, Kummer U.

Curr Opin Biotechnol. 2010 Aug;21(4):511-6. doi: 10.1016/j.copbio.2010.05.004. Epub 2010 Jun 14.

PMID:
20554441
9.

Systems biology and systems chemistry: new directions for drug discovery.

Brown JB, Okuno Y.

Chem Biol. 2012 Jan 27;19(1):23-8. doi: 10.1016/j.chembiol.2011.12.012. Review.

10.

Proteomics and systems biology: application in drug discovery and development.

Chakravarti B, Mallik B, Chakravarti DN.

Methods Mol Biol. 2010;662:3-28. doi: 10.1007/978-1-60761-800-3_1. Review.

PMID:
20824464
11.

Kernel-based data fusion improves the drug-protein interaction prediction.

Wang YC, Zhang CH, Deng NY, Wang Y.

Comput Biol Chem. 2011 Dec 14;35(6):353-62. doi: 10.1016/j.compbiolchem.2011.10.003. Epub 2011 Oct 12.

PMID:
22099632
12.

Supervised prediction of drug-target interactions using bipartite local models.

Bleakley K, Yamanishi Y.

Bioinformatics. 2009 Sep 15;25(18):2397-403. doi: 10.1093/bioinformatics/btp433. Epub 2009 Jul 15.

13.

Drug target deconvolution by chemical proteomics.

Raida M.

Curr Opin Chem Biol. 2011 Aug;15(4):570-5. doi: 10.1016/j.cbpa.2011.06.016. Epub 2011 Jul 18. Review.

PMID:
21763176
14.

Expanding proteomics into the analysis of chiral drugs.

Sui J, Zhang J, Ching CB, Chen WN.

Mol Biosyst. 2009 Jun;5(6):603-8. doi: 10.1039/b903858b. Epub 2009 Apr 28. Review.

PMID:
19462017
15.

Drug discovery in the age of systems biology: the rise of computational approaches for data integration.

Iskar M, Zeller G, Zhao XM, van Noort V, Bork P.

Curr Opin Biotechnol. 2012 Aug;23(4):609-16. doi: 10.1016/j.copbio.2011.11.010. Epub 2011 Dec 5. Review.

PMID:
22153034
16.

Predicting drug targets based on protein domains.

Wang YY, Nacher JC, Zhao XM.

Mol Biosyst. 2012 Apr;8(5):1528-34. doi: 10.1039/c2mb05450g. Epub 2012 Mar 8.

PMID:
22402667
17.

Protease proteomics: revealing protease in vivo functions using systems biology approaches.

Doucet A, Overall CM.

Mol Aspects Med. 2008 Oct;29(5):339-58. doi: 10.1016/j.mam.2008.04.003. Epub 2008 May 1. Review.

PMID:
18571712
18.

Computational systems biology: integration of sequence, structure, network, and dynamics.

Wang Y, Zhang XS, Chen L.

BMC Syst Biol. 2011 Jun 20;5 Suppl 1:S1. doi: 10.1186/1752-0509-5-S1-S1.

19.

Finding the target after screening the phenotype.

Hart CP.

Drug Discov Today. 2005 Apr 1;10(7):513-9. Review.

PMID:
15809197
20.

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