Literature DB >> 18533713

Automatic determination of reaction mappings and reaction center information. 1. The imaginary transition state energy approach.

Robert Körner1, Joannis Apostolakis.   

Abstract

Chemical reactions transform the reactant molecules by deleting existing and forming new bonds. The identification of these so-called reacting bonds is important for studying the reaction mechanism and for applications in metabolomics, e.g. for interpreting substrate labeling experiments. Here, we introduce an approach which suggests the simplest possible reaction center at the heavy atom level, with high accuracy. In contrast to current methods the approach is motivated by a simple theoretical model based on a crude approximation of the reaction energetics, and takes the complete reacting system into account. Finally, it recovers all optimal solutions to the problem while removing all symmetry-related, redundant solutions. We apply the method on the complete KEGG database of biochemical reactions, and compare our approach with previous methods. The resulting reaction centers are represented as imaginary transition states, which are molecule-like representations of reaction mechanisms. We provide the statistics of the calculations on the KEGG database and discuss some examples for the different types of alternative solutions found.

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Year:  2008        PMID: 18533713     DOI: 10.1021/ci7004324

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


  5 in total

1.  Automatic assignment of EC numbers.

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Journal:  PLoS Comput Biol       Date:  2010-01-29       Impact factor: 4.475

2.  Atom mapping with constraint programming.

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Journal:  Algorithms Mol Biol       Date:  2014-11-29       Impact factor: 1.405

3.  Automated reaction database and reaction network analysis: extraction of reaction templates using cheminformatics.

Authors:  Pieter P Plehiers; Guy B Marin; Christian V Stevens; Kevin M Van Geem
Journal:  J Cheminform       Date:  2018-03-09       Impact factor: 5.514

4.  Automatic mapping of atoms across both simple and complex chemical reactions.

Authors:  Wojciech Jaworski; Sara Szymkuć; Barbara Mikulak-Klucznik; Krzysztof Piecuch; Tomasz Klucznik; Michał Kaźmierowski; Jan Rydzewski; Anna Gambin; Bartosz A Grzybowski
Journal:  Nat Commun       Date:  2019-03-29       Impact factor: 14.919

5.  Extraction of organic chemistry grammar from unsupervised learning of chemical reactions.

Authors:  Philippe Schwaller; Benjamin Hoover; Jean-Louis Reymond; Hendrik Strobelt; Teodoro Laino
Journal:  Sci Adv       Date:  2021-04-07       Impact factor: 14.136

  5 in total

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