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Items: 1 to 20 of 99

1.

Drug side-effect prediction based on the integration of chemical and biological spaces.

Yamanishi Y, Pauwels E, Kotera M.

J Chem Inf Model. 2012 Dec 21;52(12):3284-92. doi: 10.1021/ci2005548. Epub 2012 Dec 4.

PMID:
23157436
2.

Predicting drug side-effect profiles: a chemical fragment-based approach.

Pauwels E, Stoven V, Yamanishi Y.

BMC Bioinformatics. 2011 May 18;12:169. doi: 10.1186/1471-2105-12-169.

3.

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
4.

Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework.

Yamanishi Y, Kotera M, Kanehisa M, Goto S.

Bioinformatics. 2010 Jun 15;26(12):i246-54. doi: 10.1093/bioinformatics/btq176.

5.

Prediction of drug-target interaction networks from the integration of chemical and genomic spaces.

Yamanishi Y, Araki M, Gutteridge A, Honda W, Kanehisa M.

Bioinformatics. 2008 Jul 1;24(13):i232-40. doi: 10.1093/bioinformatics/btn162.

6.

Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs.

Liu M, Wu Y, Chen Y, Sun J, Zhao Z, Chen XW, Matheny ME, Xu H.

J Am Med Inform Assoc. 2012 Jun;19(e1):e28-35.

7.

Supervised enzyme network inference from the integration of genomic data and chemical information.

Yamanishi Y, Vert JP, Kanehisa M.

Bioinformatics. 2005 Jun;21 Suppl 1:i468-77.

PMID:
15961492
8.

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

Tomioka H, Namba K.

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

PMID:
17240921
9.

Predicting adverse drug reaction profiles by integrating protein interaction networks with drug structures.

Huang LC, Wu X, Chen JY.

Proteomics. 2013 Jan;13(2):313-24. doi: 10.1002/pmic.201200337.

PMID:
23184540
10.

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.

11.

Network-based relating pharmacological and genomic spaces for drug target identification.

Zhao S, Li S.

PLoS One. 2010 Jul 26;5(7):e11764. doi: 10.1371/journal.pone.0011764.

12.

Similarity-based prediction for Anatomical Therapeutic Chemical classification of drugs by integrating multiple data sources.

Liu Z, Guo F, Gu J, Wang Y, Li Y, Wang D, Lu L, Li D, He F.

Bioinformatics. 2015 Jun 1;31(11):1788-95. doi: 10.1093/bioinformatics/btv055. Epub 2015 Jan 31.

PMID:
25638810
13.

Prediction of polypharmacological profiles of drugs by the integration of chemical, side effect, and therapeutic space.

Cheng F, Li W, Wu Z, Wang X, Zhang C, Li J, Liu G, Tang Y.

J Chem Inf Model. 2013 Apr 22;53(4):753-62. doi: 10.1021/ci400010x. Epub 2013 Apr 8.

PMID:
23527559
14.

Enhanced protein fold recognition through a novel data integration approach.

Ying Y, Huang K, Campbell C.

BMC Bioinformatics. 2009 Aug 26;10:267. doi: 10.1186/1471-2105-10-267.

15.

Chemogenomic approaches to infer drug-target interaction networks.

Yamanishi Y.

Methods Mol Biol. 2013;939:97-113. doi: 10.1007/978-1-62703-107-3_9. Review.

PMID:
23192544
16.

Drug target prediction using adverse event report systems: a pharmacogenomic approach.

Takarabe M, Kotera M, Nishimura Y, Goto S, Yamanishi Y.

Bioinformatics. 2012 Sep 15;28(18):i611-i618. doi: 10.1093/bioinformatics/bts413.

17.

Relating drug-protein interaction network with drug side effects.

Mizutani S, Pauwels E, Stoven V, Goto S, Yamanishi Y.

Bioinformatics. 2012 Sep 15;28(18):i522-i528. doi: 10.1093/bioinformatics/bts383.

18.

A large-scale computational approach to drug repositioning.

Li YY, An J, Jones SJ.

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

PMID:
17503396
19.

A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction.

Hoffmann B, Zaslavskiy M, Vert JP, Stoven V.

BMC Bioinformatics. 2010 Feb 22;11:99. doi: 10.1186/1471-2105-11-99.

20.

Inferring protein domains associated with drug side effects based on drug-target interaction network.

Iwata H, Mizutani S, Tabei Y, Kotera M, Goto S, Yamanishi Y.

BMC Syst Biol. 2013;7 Suppl 6:S18. doi: 10.1186/1752-0509-7-S6-S18. Epub 2013 Dec 13.

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