Literature DB >> 35647604

Quantum Chemical Calculations to Trace Back Reaction Paths for the Prediction of Reactants.

Yosuke Sumiya1, Yu Harabuchi1,2,3, Yuuya Nagata2,3, Satoshi Maeda1,2,3,4.   

Abstract

The long-due development of a computational method for the ab initio prediction of chemical reactants that provide a target compound has been hampered by the combinatorial explosion that occurs when reactions consist of multiple elementary reaction processes. To address this challenge, we have developed a quantum chemical calculation method that can enumerate the reactant candidates from a given target compound by combining an exhaustive automated reaction path search method with a kinetics method for narrowing down the possibilities. Two conventional name reactions were then assessed by tracing back the reaction paths using this new method to determine whether the known reactants could be identified. Our method is expected to be a powerful tool for the prediction of reactants and the discovery of new reactions.
© 2022 The Authors. Published by American Chemical Society.

Entities:  

Year:  2022        PMID: 35647604      PMCID: PMC9131471          DOI: 10.1021/jacsau.2c00157

Source DB:  PubMed          Journal:  JACS Au        ISSN: 2691-3704


  31 in total

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Authors:  Satoshi Maeda; Keiji Morokuma
Journal:  J Chem Phys       Date:  2010-06-28       Impact factor: 3.488

Review 2.  Computer-aided organic synthesis.

Authors:  Matthew H Todd
Journal:  Chem Soc Rev       Date:  2005-02-08       Impact factor: 54.564

3.  Design and Optimization of Catalysts Based on Mechanistic Insights Derived from Quantum Chemical Reaction Modeling.

Authors:  Seihwan Ahn; Mannkyu Hong; Mahesh Sundararajan; Daniel H Ess; Mu-Hyun Baik
Journal:  Chem Rev       Date:  2019-05-08       Impact factor: 60.622

4.  Bayesian reaction optimization as a tool for chemical synthesis.

Authors:  Benjamin J Shields; Jason Stevens; Jun Li; Marvin Parasram; Farhan Damani; Jesus I Martinez Alvarado; Jacob M Janey; Ryan P Adams; Abigail G Doyle
Journal:  Nature       Date:  2021-02-03       Impact factor: 49.962

5.  Exploration of Reaction Pathways and Chemical Transformation Networks.

Authors:  Gregor N Simm; Alain C Vaucher; Markus Reiher
Journal:  J Phys Chem A       Date:  2018-12-09       Impact factor: 2.781

6.  Systematic exploration of the mechanism of chemical reactions: the global reaction route mapping (GRRM) strategy using the ADDF and AFIR methods.

Authors:  Satoshi Maeda; Koichi Ohno; Keiji Morokuma
Journal:  Phys Chem Chem Phys       Date:  2013-03-21       Impact factor: 3.676

7.  Machine Learning in Computer-Aided Synthesis Planning.

Authors:  Connor W Coley; William H Green; Klavs F Jensen
Journal:  Acc Chem Res       Date:  2018-05-01       Impact factor: 22.384

8.  Organic chemistry. A data-intensive approach to mechanistic elucidation applied to chiral anion catalysis.

Authors:  Anat Milo; Andrew J Neel; F Dean Toste; Matthew S Sigman
Journal:  Science       Date:  2015-02-13       Impact factor: 47.728

9.  Computational planning of the synthesis of complex natural products.

Authors:  Barbara Mikulak-Klucznik; Patrycja Gołębiowska; Alison A Bayly; Oskar Popik; Tomasz Klucznik; Sara Szymkuć; Ewa P Gajewska; Piotr Dittwald; Olga Staszewska-Krajewska; Wiktor Beker; Tomasz Badowski; Karl A Scheidt; Karol Molga; Jacek Mlynarski; Milan Mrksich; Bartosz A Grzybowski
Journal:  Nature       Date:  2020-10-13       Impact factor: 49.962

10.  Discovering chemistry with an ab initio nanoreactor.

Authors:  Lee-Ping Wang; Alexey Titov; Robert McGibbon; Fang Liu; Vijay S Pande; Todd J Martínez
Journal:  Nat Chem       Date:  2014-11-02       Impact factor: 24.427

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