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

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

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

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1186/s12859-018-2142-1
  • Dergi Adı: BMC BIOINFORMATICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: Drug repositioning, Multiple data sources, Multiple features, Pareto dominance, Collaborative filtering, Recommendation systems, DISEASE RELATIONSHIPS, SIMILARITY, DISCOVERY, NETWORK
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.