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

[Image: see text] 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 challe...

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Autores principales: Sumiya, Yosuke, Harabuchi, Yu, Nagata, Yuuya, Maeda, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131471/
https://www.ncbi.nlm.nih.gov/pubmed/35647604
http://dx.doi.org/10.1021/jacsau.2c00157
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author Sumiya, Yosuke
Harabuchi, Yu
Nagata, Yuuya
Maeda, Satoshi
author_facet Sumiya, Yosuke
Harabuchi, Yu
Nagata, Yuuya
Maeda, Satoshi
author_sort Sumiya, Yosuke
collection PubMed
description [Image: see text] 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.
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spelling pubmed-91314712022-05-26 Quantum Chemical Calculations to Trace Back Reaction Paths for the Prediction of Reactants Sumiya, Yosuke Harabuchi, Yu Nagata, Yuuya Maeda, Satoshi JACS Au [Image: see text] 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. American Chemical Society 2022-04-22 /pmc/articles/PMC9131471/ /pubmed/35647604 http://dx.doi.org/10.1021/jacsau.2c00157 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Sumiya, Yosuke
Harabuchi, Yu
Nagata, Yuuya
Maeda, Satoshi
Quantum Chemical Calculations to Trace Back Reaction Paths for the Prediction of Reactants
title Quantum Chemical Calculations to Trace Back Reaction Paths for the Prediction of Reactants
title_full Quantum Chemical Calculations to Trace Back Reaction Paths for the Prediction of Reactants
title_fullStr Quantum Chemical Calculations to Trace Back Reaction Paths for the Prediction of Reactants
title_full_unstemmed Quantum Chemical Calculations to Trace Back Reaction Paths for the Prediction of Reactants
title_short Quantum Chemical Calculations to Trace Back Reaction Paths for the Prediction of Reactants
title_sort quantum chemical calculations to trace back reaction paths for the prediction of reactants
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131471/
https://www.ncbi.nlm.nih.gov/pubmed/35647604
http://dx.doi.org/10.1021/jacsau.2c00157
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