Literature DB >> 30499699

The convergence of artificial intelligence and chemistry for improved drug discovery.

Clive P Green1, Ola Engkvist2, Garry Pairaudeau3.   

Abstract

Keywords:  artificial intelligence; compound design; lead discovery; synthesis planning

Mesh：

Substances：

Year:  2018        PMID： 30499699     DOI： 10.4155/fmc-2018-0161

Source DB:  PubMed          Journal:  Future Med Chem        ISSN： 1756-8919            Impact factor:   3.808


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  4 in total

Review 1.  Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns.

Authors:  Tânia F G G Cova; Alberto A C C Pais
Journal:  Front Chem       Date:  2019-11-26       Impact factor: 5.221

2.  Prediction of Compound Synthesis Accessibility Based on Reaction Knowledge Graph.

Authors:  Baiqing Li; Hongming Chen
Journal:  Molecules       Date:  2022-02-03       Impact factor: 4.411

Review 3.  Defining Levels of Automated Chemical Design.

Authors:  Brian Goldman; Steven Kearnes; Trevor Kramer; Patrick Riley; W Patrick Walters
Journal:  J Med Chem       Date:  2022-05-05       Impact factor: 8.039

4.  Datasets and their influence on the development of computer assisted synthesis planning tools in the pharmaceutical domain.

Authors:  Amol Thakkar; Thierry Kogej; Jean-Louis Reymond; Ola Engkvist; Esben Jannik Bjerrum
Journal:  Chem Sci       Date:  2019-11-05       Impact factor: 9.825
  4 in total

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