| Literature DB >> 29510217 |
Ola Engkvist1, Per-Ola Norrby2, Nidhal Selmi3, Yu-Hong Lam4, Zhengwei Peng4, Edward C Sherer4, Willi Amberg5, Thomas Erhard5, Lynette A Smyth5.
Abstract
Over the past few decades, various computational methods have become increasingly important for discovering and developing novel drugs. Computational prediction of chemical reactions is a key part of an efficient drug discovery process. In this review, we discuss important parts of this field, with a focus on utilizing reaction data to build predictive models, the existing programs for synthesis prediction, and usage of quantum mechanics and molecular mechanics (QM/MM) to explore chemical reactions. We also outline potential future developments with an emphasis on pre-competitive collaboration opportunities.Mesh:
Year: 2018 PMID: 29510217 DOI: 10.1016/j.drudis.2018.02.014
Source DB: PubMed Journal: Drug Discov Today ISSN: 1359-6446 Impact factor: 7.851