Molecules (Oct 2018)

Artificial Intelligence in Drug Design

  • Gerhard Hessler,
  • Karl-Heinz Baringhaus

DOI
https://doi.org/10.3390/molecules23102520
Journal volume & issue
Vol. 23, no. 10
p. 2520

Abstract

Read online

Artificial Intelligence (AI) plays a pivotal role in drug discovery. In particular artificial neural networks such as deep neural networks or recurrent networks drive this area. Numerous applications in property or activity predictions like physicochemical and ADMET properties have recently appeared and underpin the strength of this technology in quantitative structure-property relationships (QSPR) or quantitative structure-activity relationships (QSAR). Artificial intelligence in de novo design drives the generation of meaningful new biologically active molecules towards desired properties. Several examples establish the strength of artificial intelligence in this field. Combination with synthesis planning and ease of synthesis is feasible and more and more automated drug discovery by computers is expected in the near future.

Keywords