Inferring chemogenomic features from drug-target interaction networks

Yoshihiro Yamanishi

Research output: Contribution to journalReview articlepeer-review

6 Citations (Scopus)

Abstract

Drug effects are mainly caused by the interactions between drug molecules and target proteins including primary targets and off-targets. Understanding of the molecular mechanisms behind overall drug-target interactions is crucial in the drug design process. In this paper we review recently developed methods to infer chemogenomic features (the underlying associations between drug chemical substructures and protein domains) which are strongly involved in drug-target interaction networks. We show the usefulness of the methods to detect ligand chemical fragments specific for each protein domain and ligand core substructures important for a wide range of protein families. We also discuss how to use the chemogenomic features for predicting unknown drug-target interactions on a large scale.

Original languageEnglish
Pages (from-to)991-999
Number of pages9
JournalMolecular Informatics
Volume32
Issue number11-12
DOIs
Publication statusPublished - Dec 2013

All Science Journal Classification (ASJC) codes

  • Structural Biology
  • Molecular Medicine
  • Drug Discovery
  • Computer Science Applications
  • Organic Chemistry

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