Recent applications of artificial intelligence in RNA-targeted small molecule drug discovery.

Journal: Expert opinion on drug discovery
Published Date:

Abstract

INTRODUCTION: Targeting RNAs with small molecules offers an alternative to the conventional protein-targeted drug discovery and can potentially address unmet and emerging medical needs. The recent rise of interest in the strategy has already resulted in large amounts of data on disease associated RNAs, as well as on small molecules that bind to such RNAs. Artificial intelligence (AI) approaches, including machine learning and deep learning, present an opportunity to speed up the discovery of RNA-targeted small molecules by improving decision-making efficiency and quality.

Authors

  • Ella Czarina Morishita
    Basic Research Division, Veritas In Silico, Tokyo, Japan.
  • Shingo Nakamura
    Veritas In Silico Inc, Tokyo, Japan.