Partial Imaginary Transition State (ITS) Graphs: A Formal Framework for Research and Analysis of Atom-to-Atom Maps of Unbalanced Chemical Reactions and Their Completions

Atom-to-atom maps (AAMs) are bijections that establish the correspondence of reactant and product atoms across chemical reactions. They capture crucial features of the reaction mechanism and thus play a central role in modeling chemistry at the level of graph transformations. AAMs are equivalent to so-called “imaginary transition state” (ITS) graphs, making it possible to reduce tasks such as the computational comparison of AAMs to testing graph isomorphisms. In many application scenarios, nonetheless, only partial information is available, i.e., only partial maps or, equivalently, only subgraphs of the ITS graphs, are known. Here, we investigate whether and how, and to what extent, such partial chemical data can be completed and compared. The focus of this contribution is entirely on the development of a solid mathematical foundation for the analysis of partial AAMs and their associated partial ITS graphs.

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Publication Details

Journal
Symmetry
Published
2024-09-16
DOI
https://doi.org/10.3390/sym16091217
Citations
4
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.45

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article

Partial Imaginary Transition State (ITS) Graphs: A Formal Framework for Research and Analysis of Atom-to-Atom Maps of Unbalanced Chemical Reactions and Their Completions

Christoph Flamm, Nora Beier, Peter F. Stadler, Thomas Gatter et al.
4 citations
Symmetry
Computational Drug Discovery Methods
1.45
article

Partial Imaginary Transition State (ITS) Graphs: A Formal Framework for Research and Analysis of Atom-to-Atom Maps of Unbalanced Chemical Reactions and Their Completions

Christoph Flamm, Nora Beier, Peter F. Stadler, Thomas Gatter, Tieu-Long Phan, Marcos E. González Laffitte, Daniel Merkle, Klaus Weinbauer, Nico Domschke
article en
4 citations

Abstract

Atom-to-atom maps (AAMs) are bijections that establish the correspondence of reactant and product atoms across chemical reactions. They capture crucial features of the reaction mechanism and thus play a central role in modeling chemistry at the level of graph transformations. AAMs are equivalent to so-called “imaginary transition state” (ITS) graphs, making it possible to reduce tasks such as the computational comparison of AAMs to testing graph isomorphisms. In many application scenarios, nonetheless, only partial information is available, i.e., only partial maps or, equivalently, only subgraphs of the ITS graphs, are known. Here, we investigate whether and how, and to what extent, such partial chemical data can be completed and compared. The focus of this contribution is entirely on the development of a solid mathematical foundation for the analysis of partial AAMs and their associated partial ITS graphs.

SymmetryVol. 16(9)
University of Copenhagen (DK), University of Vienna (AT), Santa Fe Institute (US), TU Wien (AT), University of Southern Denmark (DK), Bielefeld University (DE), Universidad Nacional de Colombia (CO), Max Planck Institute for Mathematics in the Sciences (DE), Leipzig University (DE)
Novo Nordisk Fonden
Openalex Percentile: Top 16%
Computational Drug Discovery Methods
1.45
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