A Comparative Analytical Review on Machine Learning Methods in Drugtarget Interactions Prediction.

Journal: Current computer-aided drug design
Published Date: Jan 1, 2023

Abstract

BACKGROUND: Predicting drug-target interactions (DTIs) is an important topic of study in the field of drug discovery and development. Since DTI prediction in vitro studies is very expensive and time-consuming, computational techniques for predicting drug-target interactions have been introduced successfully to solve these problems and have received extensive attention.

Authors

  • Zahra Nikraftar
    Data Mining Laboratory, Department of Computer Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran.
  • Mohammad Reza Keyvanpour
    Department of Computer Engineering, Alzahra University, Tehran, Iran.

Keywords

External Resources

Popular Topics
Recent Journals