Literature DB >> 22077721

A collection of robust organic synthesis reactions for in silico molecule design.

Markus Hartenfeller1, Martin Eberle, Peter Meier, Cristina Nieto-Oberhuber, Karl-Heinz Altmann, Gisbert Schneider, Edgar Jacoby, Steffen Renner.   

Abstract

A focused collection of organic synthesis reactions for computer-based molecule construction is presented. It is inspired by real-world chemistry and has been compiled in close collaboration with medicinal chemists to achieve high practical relevance. Virtual molecules assembled from existing starting material connected by these reactions are supposed to have an enhanced chance to be amenable to real chemical synthesis. About 50% of the reactions in the dataset are ring-forming reactions, which fosters the assembly of novel ring systems and innovative chemotypes. A comparison with a recent survey of the reactions used in early drug discovery revealed considerable overlaps with the collection presented here. The dataset is available encoded as computer-readable Reaction SMARTS expressions from the Supporting Information presented for this paper.

Mesh:

Year:  2011        PMID: 22077721     DOI: 10.1021/ci200379p

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


  19 in total

Review 1.  Expanding the medicinal chemistry synthetic toolbox.

Authors:  Jonas Boström; Dean G Brown; Robert J Young; György M Keserü
Journal:  Nat Rev Drug Discov       Date:  2018-08-24       Impact factor: 84.694

2.  Identifying the macromolecular targets of de novo-designed chemical entities through self-organizing map consensus.

Authors:  Daniel Reker; Tiago Rodrigues; Petra Schneider; Gisbert Schneider
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-03       Impact factor: 11.205

3.  Comparison of Large Chemical Spaces.

Authors:  Uta Lessel; Christian Lemmen
Journal:  ACS Med Chem Lett       Date:  2019-09-11       Impact factor: 4.345

Review 4.  De novo molecular drug design benchmarking.

Authors:  Lauren L Grant; Clarissa S Sit
Journal:  RSC Med Chem       Date:  2021-06-03

5.  Prediction-driven matched molecular pairs to interpret QSARs and aid the molecular optimization process.

Authors:  Yurii Sushko; Sergii Novotarskyi; Robert Körner; Joachim Vogt; Ahmed Abdelaziz; Igor V Tetko
Journal:  J Cheminform       Date:  2014-12-11       Impact factor: 5.514

6.  Chemical Space Expansion of Bromodomain Ligands Guided by in Silico Virtual Couplings (AutoCouple).

Authors:  Laurent Batiste; Andrea Unzue; Aymeric Dolbois; Fabrice Hassler; Xuan Wang; Nicholas Deerain; Jian Zhu; Dimitrios Spiliotopoulos; Cristina Nevado; Amedeo Caflisch
Journal:  ACS Cent Sci       Date:  2018-02-07       Impact factor: 14.553

7.  A poised fragment library enables rapid synthetic expansion yielding the first reported inhibitors of PHIP(2), an atypical bromodomain.

Authors:  Oakley B Cox; Tobias Krojer; Patrick Collins; Octovia Monteiro; Romain Talon; Anthony Bradley; Oleg Fedorov; Jahangir Amin; Brian D Marsden; John Spencer; Frank von Delft; Paul E Brennan
Journal:  Chem Sci       Date:  2015-12-22       Impact factor: 9.825

8.  Chemotion-ELN part 2: adaption of an embedded Ketcher editor to advanced research applications.

Authors:  Serhii Kotov; Pierre Tremouilhac; Nicole Jung; Stefan Bräse
Journal:  J Cheminform       Date:  2018-08-13       Impact factor: 5.514

9.  Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.

Authors:  Marwin H S Segler; Thierry Kogej; Christian Tyrchan; Mark P Waller
Journal:  ACS Cent Sci       Date:  2017-12-28       Impact factor: 14.553

Review 10.  Application of the SwissDrugDesign Online Resources in Virtual Screening.

Authors:  Antoine Daina; Vincent Zoete
Journal:  Int J Mol Sci       Date:  2019-09-18       Impact factor: 5.923

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