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Items: 1 to 20 of 106

1.

MPGraph: multi-view penalised graph clustering for predicting drug-target interactions.

Li L.

IET Syst Biol. 2014 Apr;8(2):67-73. doi: 10.1049/iet-syb.2013.0040.

PMID:
25014227
2.

Quantitatively integrating molecular structure and bioactivity profile evidence into drug-target relationship analysis.

Xu T, Zhu R, Liu Q, Cao Z.

BMC Bioinformatics. 2012 May 4;13:75. doi: 10.1186/1471-2105-13-75.

3.

Predicting drug-target interactions using restricted Boltzmann machines.

Wang Y, Zeng J.

Bioinformatics. 2013 Jul 1;29(13):i126-34. doi: 10.1093/bioinformatics/btt234.

4.

Predicting drug-target interaction for new drugs using enhanced similarity measures and super-target clustering.

Shi JY, Yiu SM, Li Y, Leung HC, Chin FY.

Methods. 2015 Jul 15;83:98-104. doi: 10.1016/j.ymeth.2015.04.036.

PMID:
25957673
5.

TargetHunter: an in silico target identification tool for predicting therapeutic potential of small organic molecules based on chemogenomic database.

Wang L, Ma C, Wipf P, Liu H, Su W, Xie XQ.

AAPS J. 2013 Apr;15(2):395-406. doi: 10.1208/s12248-012-9449-z.

6.

Multi-view spectral clustering and its chemical application.

Adefioye AA, Liu X, De Moor B.

Int J Comput Biol Drug Des. 2013;6(1-2):32-49. doi: 10.1504/IJCBDD.2013.052200.

PMID:
23428472
7.

Drug repositioning through incomplete bi-cliques in an integrated drug-target-disease network.

Daminelli S, Haupt VJ, Reimann M, Schroeder M.

Integr Biol (Camb). 2012 Jul;4(7):778-88. doi: 10.1039/c2ib00154c.

PMID:
22538435
8.

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.

9.

[Prediction of network drug target based on improved model of bipartite graph valuation].

Liu X, Lu P, Zuo X, Chen J, Yang H, Yang Y, Gao Y.

Zhongguo Zhong Yao Za Zhi. 2012 Jan;37(2):125-9. Chinese.

PMID:
22737836
10.

Predicting new indications for approved drugs using a proteochemometric method.

Dakshanamurthy S, Issa NT, Assefnia S, Seshasayee A, Peters OJ, Madhavan S, Uren A, Brown ML, Byers SW.

J Med Chem. 2012 Aug 9;55(15):6832-48. doi: 10.1021/jm300576q.

11.

In silico functional profiling of small molecules and its applications.

Sato T, Matsuo Y, Honma T, Yokoyama S.

J Med Chem. 2008 Dec 25;51(24):7705-16. doi: 10.1021/jm800504q.

PMID:
19032081
12.

A large-scale computational approach to drug repositioning.

Li YY, An J, Jones SJ.

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

PMID:
17503396
13.

Assay Related Target Similarity (ARTS) - chemogenomics approach for quantitative comparison of biological targets.

Bieler M, Heilker R, Köppen H, Schneider G.

J Chem Inf Model. 2011 Aug 22;51(8):1897-905. doi: 10.1021/ci200105t.

PMID:
21761911
14.

Drug discovery conference 2008. Small-Molecule Drug Discovery: From Early Stage to the Clinic.

Terrett NK.

IDrugs. 2008 Mar;11(3):164-8. No abstract available.

PMID:
18311648
15.

Modeling of activity landscapes for drug discovery.

Bajorath J.

Expert Opin Drug Discov. 2012 Jun;7(6):463-73. doi: 10.1517/17460441.2012.679616. Review.

PMID:
22475223
16.

Drug repositioning framework by incorporating functional information.

Wu Z, Wang Y, Chen L.

IET Syst Biol. 2013 Oct;7(5):188-94. doi: 10.1049/iet-syb.2012.0064.

PMID:
24067419
17.

Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization.

Gönen M.

Bioinformatics. 2012 Sep 15;28(18):2304-10. doi: 10.1093/bioinformatics/bts360.

18.

A data mining method to facilitate SAR transfer.

Wassermann AM, Bajorath J.

J Chem Inf Model. 2011 Aug 22;51(8):1857-66. doi: 10.1021/ci200254k.

PMID:
21774471
19.

Drug target prediction and repositioning using an integrated network-based approach.

Emig D, Ivliev A, Pustovalova O, Lancashire L, Bureeva S, Nikolsky Y, Bessarabova M.

PLoS One. 2013 Apr 4;8(4):e60618. doi: 10.1371/journal.pone.0060618.

20.

Drug repositioning by applying 'expression profiles' generated by integrating chemical structure similarity and gene semantic similarity.

Tan F, Yang R, Xu X, Chen X, Wang Y, Ma H, Liu X, Wu X, Chen Y, Liu L, Jia X.

Mol Biosyst. 2014 May;10(5):1126-38. doi: 10.1039/c3mb70554d.

PMID:
24603772
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