Realizing drug repositioning by adapting a recommendation system to handle the process

OZSOY M. G., Ozyer T., POLAT F., Alhajj R.

BMC BIOINFORMATICS, vol.19, 2018 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 19
  • Publication Date: 2018
  • Doi Number: 10.1186/s12859-018-2142-1
  • Journal Name: BMC BIOINFORMATICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Keywords: Drug repositioning, Multiple data sources, Multiple features, Pareto dominance, Collaborative filtering, Recommendation systems, DISEASE RELATIONSHIPS, SIMILARITY, DISCOVERY, NETWORK
  • Middle East Technical University Affiliated: Yes

Abstract

Background: Drug repositioning is the process of identifying new targets for known drugs. It can be used to overcome problems associated with traditional drug discovery by adapting existing drugs to treat new discovered diseases. Thus, it may reduce associated risk, cost and time required to identify and verify new drugs. Nowadays, drug repositioning has received more attention from industry and academia. To tackle this problem, researchers have applied many different computational methods and have used various features of drugs and diseases.