EGeRepDR: An enhanced genetic-based representation learning for drug repurposing using multiple biomedical sources.

Journal: Journal of biomedical informatics
Published Date:

Abstract

MOTIVATION: Drug repurposing (DR) is an imminent approach for identifying novel therapeutic indications for the available drugs and discovering novel drugs for previously untreatable diseases. Nowadays, DR has major attention in the pharmaceutical industry due to the high cost and time of launching new drugs to the market through traditional drug development. DR task majorly depends on genetic information since the drugs revert the modified Gene Expression (GE) of diseases to normal. Many of the existing studies have not considered the genetic importance of predicting the potential candidates.

Authors

  • Saranya Muniyappan
    Computer Science and Engineering, CEG Campus, Anna University, Chennai, Tamil Nadu, India. Electronic address: saranyamani18@gmail.com.
  • Arockia Xavier Annie Rayan
    Department of Computer Science and Engineering, CEG, Chennai, Tamil Nadu, India.
  • Geetha Thekkumpurath Varrieth
    Department of Computer Science and Engineering, CEG, Chennai, Tamil Nadu, India.