A Drug Decision Support System for Developing a Successful Drug Candidate Using Machine Learning Techniques.

Journal: Current computer-aided drug design
Published Date:

Abstract

BACKGROUND: Virtual screening of candidate drug molecules using machine learning techniques plays a key role in pharmaceutical industry to design and discovery of new drugs. Computational classification methods can determine drug types according to the disease groups and distinguish approved drugs from withdrawn ones.

Authors

  • Aytun Onay
    Department of Computer Engineering, TOBB University of Economics & Technology, 06560, Ankara, Turkey.
  • Melih Onay
    Department of Environmental Engineering, Computational & Experimental Biochemistry Lab, Yuzuncu Yil University, 65080, Van, Turkey. Electronic address: melihonay@yyu.edu.tr.