Artificial intelligence approaches for molecular representation in drug response prediction

Curr Opin Struct Biol. 2024 Feb:84:102747. doi: 10.1016/j.sbi.2023.102747. Epub 2023 Dec 13.

Abstract

Drug response prediction is essential for drug development and disease treatment. One key question in predicting drug response is the representation of molecules, which has been greatly advanced by artificial intelligence (AI) techniques in recent years. In this review, we first describe different types of representation methods, pinpointing their key principles and discussing their limitations. Thereafter we discuss potential ways how these methods could be further developed. We expect that this review will provide useful guidance for researchers in the community.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Artificial Intelligence*
  • Pharmaceutical Preparations*

Substances

  • Pharmaceutical Preparations