Computational prediction of chemical reactions: current status and outlook

Autor: Per-Ola Norrby, Lynette A. Smyth, Ola Engkvist, Edward C. Sherer, Nidhal Selmi, Willi Amberg, Yu-hong Lam, Thomas Erhard, Zhengwei Peng
Rok vydání: 2018
Předmět:
Zdroj: Drug Discovery Today. 23:1203-1218
ISSN: 1359-6446
Popis: 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.
Databáze: OpenAIRE