Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework-Reference-Cited by-同舟云学术

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

Published:2010-06-06 Issue:12 Volume:26 Page:i246-i254
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:Bioinformatics

Author:

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

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/26/12/i246/790586/btq176.pdf

Reference37 articles.

1. Inhibition of Prostaglandin H2Synthases by Salicylate Is Dependent on the Oxidative State of the Enzymes

2. REGULATION AND INHIBITION OF PHOSPHOLIPASE A2

3. Supervised prediction of drug–target interactions using bipartite local models

4. Diflorasone Diacetate: Vasoconstrictor Activity and Clinical Efficacy of a New Topical Corticosteroid

5. Virtual Screen for Ligands of Orphan G Protein-Coupled Receptors

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