Literature DB >> 31190540

RDChiral: An RDKit Wrapper for Handling Stereochemistry in Retrosynthetic Template Extraction and Application.

Connor W Coley1, William H Green1, Klavs F Jensen1.   

Abstract

There is a renewed interest in computer-aided synthesis planning, where the vast majority of approaches require the application of retrosynthetic reaction templates. Here we introduce RDChiral, an open-source Python wrapper for RDKit designed to provide consistent handling of stereochemical information in applying retrosynthetic transformations encoded as SMARTS strings. RDChiral is designed to enforce the introduction, destruction, retention, and inversion of chiral tetrahedral centers as well as the cis/trans configuration of double bonds. We also introduce an open-source implementation of a retrosynthetic template extraction algorithm to generate SMARTS patterns from atom-mapped reaction SMILES strings. In this application note, we describe the implementation of these two pieces of code and illustrate their use through many examples.

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Year:  2019        PMID: 31190540     DOI: 10.1021/acs.jcim.9b00286

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  21 in total

1.  Improving the performance of models for one-step retrosynthesis through re-ranking.

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Authors:  Sepehr Madanikashani; Laurien A Vandewalle; Steven De Meester; Juray De Wilde; Kevin M Van Geem
Journal:  Materials (Basel)       Date:  2022-06-14       Impact factor: 3.748

3.  RetroBioCat as a computer-aided synthesis planning tool for biocatalytic reactions and cascades.

Authors:  William Finnigan; Lorna J Hepworth; Sabine L Flitsch; Nicholas J Turner
Journal:  Nat Catal       Date:  2021-01-04

Review 4.  Molecular representations in AI-driven drug discovery: a review and practical guide.

Authors:  Laurianne David; Amol Thakkar; Rocío Mercado; Ola Engkvist
Journal:  J Cheminform       Date:  2020-09-17       Impact factor: 5.514

5.  CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration.

Authors:  Ryosuke Shibukawa; Shoichi Ishida; Kazuki Yoshizoe; Kunihiro Wasa; Kiyosei Takasu; Yasushi Okuno; Kei Terayama; Koji Tsuda
Journal:  J Cheminform       Date:  2020-09-01       Impact factor: 5.514

6.  Regio-selectivity prediction with a machine-learned reaction representation and on-the-fly quantum mechanical descriptors.

Authors:  Yanfei Guan; Connor W Coley; Haoyang Wu; Duminda Ranasinghe; Esther Heid; Thomas J Struble; Lagnajit Pattanaik; William H Green; Klavs F Jensen
Journal:  Chem Sci       Date:  2020-12-22       Impact factor: 9.825

7.  Towards efficient discovery of green synthetic pathways with Monte Carlo tree search and reinforcement learning.

Authors:  Xiaoxue Wang; Yujie Qian; Hanyu Gao; Connor W Coley; Yiming Mo; Regina Barzilay; Klavs F Jensen
Journal:  Chem Sci       Date:  2020-09-14       Impact factor: 9.825

Review 8.  Digitising chemical synthesis in automated and robotic flow.

Authors:  Tomas Hardwick; Nisar Ahmed
Journal:  Chem Sci       Date:  2020-10-07       Impact factor: 9.825

9.  Predicting enzymatic reactions with a molecular transformer.

Authors:  David Kreutter; Philippe Schwaller; Jean-Louis Reymond
Journal:  Chem Sci       Date:  2021-05-25       Impact factor: 9.825

10.  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

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