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Items: 1 to 20 of 74

1.

Prediction of drugs target groups based on ChEBI ontology.

Gao YF, Chen L, Huang GH, Zhang T, Feng KY, Li HP, Jiang Y.

Biomed Res Int. 2013;2013:132724. doi: 10.1155/2013/132724. Epub 2013 Nov 20.

2.

Gene ontology based transfer learning for protein subcellular localization.

Mei S, Fei W, Zhou S.

BMC Bioinformatics. 2011 Feb 2;12:44. doi: 10.1186/1471-2105-12-44.

3.

Prediction of drug target groups based on chemical-chemical similarities and chemical-chemical/protein connections.

Chen L, Lu J, Luo X, Feng KY.

Biochim Biophys Acta. 2014 Jan;1844(1 Pt B):207-13. doi: 10.1016/j.bbapap.2013.05.021. Epub 2013 Jun 1.

PMID:
23732562
4.

Predicting drugs side effects based on chemical-chemical interactions and protein-chemical interactions.

Chen L, Huang T, Zhang J, Zheng MY, Feng KY, Cai YD, Chou KC.

Biomed Res Int. 2013;2013:485034. doi: 10.1155/2013/485034. Epub 2013 Sep 4.

5.

[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
6.

Weighted feature value based Drug Target Protein prediction.

Hyun BR, Jung H, Jang WH, Jung SH, Han DS.

Int J Comput Biol Drug Des. 2008;1(4):422-33.

PMID:
20063466
7.

A hybrid method for prediction and repositioning of drug Anatomical Therapeutic Chemical classes.

Chen L, Lu J, Zhang N, Huang T, Cai YD.

Mol Biosyst. 2014 Apr;10(4):868-77. doi: 10.1039/c3mb70490d. Epub 2014 Feb 4.

PMID:
24492783
8.

2D MI-DRAGON: a new predictor for protein-ligands interactions and theoretic-experimental studies of US FDA drug-target network, oxoisoaporphine inhibitors for MAO-A and human parasite proteins.

Prado-Prado F, García-Mera X, Escobar M, Sobarzo-Sánchez E, Yañez M, Riera-Fernandez P, González-Díaz H.

Eur J Med Chem. 2011 Dec;46(12):5838-51. doi: 10.1016/j.ejmech.2011.09.045. Epub 2011 Oct 1.

PMID:
22005185
9.

Predicting metabolic pathways of small molecules and enzymes based on interaction information of chemicals and proteins.

Gao YF, Chen L, Cai YD, Feng KY, Huang T, Jiang Y.

PLoS One. 2012;7(9):e45944. doi: 10.1371/journal.pone.0045944. Epub 2012 Sep 21. Erratum in: PLoS One. 2012;7(11):doi/10.1371/annotation/83922541-168a-4d4f-846a-cb5d127aa7a9.

10.

Epitope prediction based on random peptide library screening: benchmark dataset and prediction tools evaluation.

Sun P, Chen W, Huang Y, Wang H, Ma Z, Lv Y.

Molecules. 2011 Jun 16;16(6):4971-93. doi: 10.3390/molecules16064971.

11.

DrugBank: a comprehensive resource for in silico drug discovery and exploration.

Wishart DS, Knox C, Guo AC, Shrivastava S, Hassanali M, Stothard P, Chang Z, Woolsey J.

Nucleic Acids Res. 2006 Jan 1;34(Database issue):D668-72.

12.

Predicting chemical toxicity effects based on chemical-chemical interactions.

Chen L, Lu J, Zhang J, Feng KR, Zheng MY, Cai YD.

PLoS One. 2013;8(2):e56517. doi: 10.1371/journal.pone.0056517. Epub 2013 Feb 15.

13.

BiNChE: a web tool and library for chemical enrichment analysis based on the ChEBI ontology.

Moreno P, Beisken S, Harsha B, Muthukrishnan V, Tudose I, Dekker A, Dornfeldt S, Taruttis F, Grosse I, Hastings J, Neumann S, Steinbeck C.

BMC Bioinformatics. 2015 Feb 21;16:56. doi: 10.1186/s12859-015-0486-3.

14.

Gene Ontology and KEGG Pathway Enrichment Analysis of a Drug Target-Based Classification System.

Chen L, Chu C, Lu J, Kong X, Huang T, Cai YD.

PLoS One. 2015 May 7;10(5):e0126492. doi: 10.1371/journal.pone.0126492. eCollection 2015.

15.

Ontology-based collection, representation and analysis of drug-associated neuropathy adverse events.

Guo A, Racz R, Hur J, Lin Y, Xiang Z, Zhao L, Rinder J, Jiang G, Zhu Q, He Y.

J Biomed Semantics. 2016 May 21;7:29. doi: 10.1186/s13326-016-0069-x. eCollection 2016.

16.

SuperTarget and Matador: resources for exploring drug-target relationships.

Günther S, Kuhn M, Dunkel M, Campillos M, Senger C, Petsalaki E, Ahmed J, Urdiales EG, Gewiess A, Jensen LJ, Schneider R, Skoblo R, Russell RB, Bourne PE, Bork P, Preissner R.

Nucleic Acids Res. 2008 Jan;36(Database issue):D919-22. Epub 2007 Oct 16.

17.

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
18.

PDTD: a web-accessible protein database for drug target identification.

Gao Z, Li H, Zhang H, Liu X, Kang L, Luo X, Zhu W, Chen K, Wang X, Jiang H.

BMC Bioinformatics. 2008 Feb 19;9:104. doi: 10.1186/1471-2105-9-104.

19.

MultiLoc2: integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction.

Blum T, Briesemeister S, Kohlbacher O.

BMC Bioinformatics. 2009 Sep 1;10:274. doi: 10.1186/1471-2105-10-274.

20.

KA-SB: from data integration to large scale reasoning.

Roldán-García Mdel M, Navas-Delgado I, Kerzazi A, Chniber O, Molina-Castro J, Aldana-Montes JF.

BMC Bioinformatics. 2009 Oct 1;10 Suppl 10:S5. doi: 10.1186/1471-2105-10-S10-S5.

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