Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 199

1.

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.

2.

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.

3.

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.

4.

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.

5.

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. Epub 2012 Jun 23.

PMID:
22730431
6.

[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
7.

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
8.

Large-scale prediction of drug-target interactions using protein sequences and drug topological structures.

Cao DS, Liu S, Xu QS, Lu HM, Huang JH, Hu QN, Liang YZ.

Anal Chim Acta. 2012 Nov 8;752:1-10. doi: 10.1016/j.aca.2012.09.021. Epub 2012 Sep 24.

PMID:
23101647
9.

Drug-target interaction prediction by random walk on the heterogeneous network.

Chen X, Liu MX, Yan GY.

Mol Biosyst. 2012 Jul 6;8(7):1970-8. doi: 10.1039/c2mb00002d. Epub 2012 Apr 26.

PMID:
22538619
10.
11.

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
12.

Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers.

Tabei Y, Pauwels E, Stoven V, Takemoto K, Yamanishi Y.

Bioinformatics. 2012 Sep 15;28(18):i487-i494. doi: 10.1093/bioinformatics/bts412.

13.

Drug-target interaction prediction by learning from local information and neighbors.

Mei JP, Kwoh CK, Yang P, Li XL, Zheng J.

Bioinformatics. 2013 Jan 15;29(2):238-45. doi: 10.1093/bioinformatics/bts670. Epub 2012 Nov 17.

PMID:
23162055
14.

A systematic prediction of multiple drug-target interactions from chemical, genomic, and pharmacological data.

Yu H, Chen J, Xu X, Li Y, Zhao H, Fang Y, Li X, Zhou W, Wang W, Wang Y.

PLoS One. 2012;7(5):e37608. doi: 10.1371/journal.pone.0037608. Epub 2012 May 30.

15.

Gaussian interaction profile kernels for predicting drug-target interaction.

van Laarhoven T, Nabuurs SB, Marchiori E.

Bioinformatics. 2011 Nov 1;27(21):3036-43. doi: 10.1093/bioinformatics/btr500. Epub 2011 Sep 4.

PMID:
21893517
16.

Computational probing protein-protein interactions targeting small molecules.

Wang YC, Chen SL, Deng NY, Wang Y.

Bioinformatics. 2016 Jan 15;32(2):226-34. doi: 10.1093/bioinformatics/btv528. Epub 2015 Sep 28.

PMID:
26415726
17.

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
18.

Using feature selection technique for drug-target interaction networks prediction.

Yu W, Jiang Z, Wang J, Tao R.

Curr Med Chem. 2011;18(36):5687-93.

PMID:
22172073
19.

DINIES: drug-target interaction network inference engine based on supervised analysis.

Yamanishi Y, Kotera M, Moriya Y, Sawada R, Kanehisa M, Goto S.

Nucleic Acids Res. 2014 Jul;42(Web Server issue):W39-45. doi: 10.1093/nar/gku337. Epub 2014 May 16.

20.

A semi-supervised method for drug-target interaction prediction with consistency in networks.

Chen H, Zhang Z.

PLoS One. 2013 May 7;8(5):e62975. doi: 10.1371/journal.pone.0062975. Print 2013.

Supplemental Content

Support Center