Evidence map›Paper›PMID 42321843›Full record

ArticleAlgorithms for molecular biology : AMB2026

Extension of partial atom-to-atom maps: uniqueness and algorithms.

Marcos E González Laffitte, Tieu-Long Phan, Peter F Stadler

Abstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Marcos E González LaffitteCenter for Scalable Data Analytics and Artificial Intelligence Dresden-Leipzig (ScaDS.AI), Leipzig University, Humboldtstrasse 25, 04105, Leipzig, Saxony, Germany. marcos@bioinf.uni-leipzig.de.ORCID https://orcid.org/0009-0008-2307-595X
Tieu-Long PhanBioinformatics Group, Department of Computer Science and Interdisciplinary Center of Bioinformatics, Leipzig University, Haertelstrasse 16-18, 04107, Leipzig, Saxony, Germany. tieu@bioinf.uni-leipzig.de.ORCID https://orcid.org/0000-0002-3532-2064
Peter F StadlerCenter for Scalable Data Analytics and Artificial Intelligence Dresden-Leipzig (ScaDS.AI), Leipzig University, Humboldtstrasse 25, 04105, Leipzig, Saxony, Germany. studla@bioinf.uni-leipzig.de.ORCID https://orcid.org/0000-0002-5016-5191

Funding

Center for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzig, funded jointly by the Federal Ministry of Education and Research of Germany (BMBF) and the Sächsische Staatsministerium für Wissenschaft, Kultur und Tourismus in the programme Centers of Excellence for AI-research SCADS24BEuropean Union's Horizon Europe Doctoral Network programme under the Marie-Sk?odowska-Curie grant agreement (TACsy - Training Alliance for Computational systems chemistry) No 101072930Federal Ministry of Education and Research of Germany (BMBF) and the Sächsische Staatsministerium für Wissenschaft Kultur und Tourismus in the program Center of Excellence for AI-research "Center for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzig" ScaDS.AIFederal Ministry of Education and Research of Germany (BMBF) through DAAD (SECAI, School of Embedded Composite AI) project 57616814
6 · The paper itself

Abstract

Chemical reaction databases typically report the molecular structures of reactant and product compounds, as well as their stoichiometry, but lack information, in particular, on the correspondence of reactant and product atoms. These atom-to-atom maps (AAM), however, are crucial for applications including chemical synthesis planning in organic chemistry and the analysis of isotope labeling experiments in modern metabolomics. AAMs therefore need to be reconstructed computationally. This situation is aggravated, furthermore, by the fact that chemically correct AAMs are, fundamentally, determined by quantum-mechanical phenomena and thus cannot be reliably computed by solving graph-theoretical optimization problems defined by the reactant and product structures. A viable solution for this problem is to shift the focus into first identifying a partial AAM containing the reaction center, i.e., covering the atoms incident with all bonds that change during a reaction. This then leads to the problem of extending the partial map to the full reaction. The AAM of a reaction is faithfully represented by the Imaginary Transition State (ITS) graph, providing a convenient graph-theoretic framework to address the questions of when and how a partial AAM can be extended. We show that an unique extension exists whenever, and only if, these partial AAMs cover the reaction center. Moreover, uniqueness results are generalized to partial AAMs in situations where hydrogen atoms are not represented explicitly. In this case their extension can be computed by solving a constrained graph-isomorphism search between specific subgraphs of ITS graphs. We close by benchmarking different tools for this task.

Indexed as

Atom-to-atom mapsChemical reaction mechanismsChemical synthesis planningCondensed graph of the reaction (CGR)Constrained graph isomorphismImaginary transition state (ITS)Metabolic networksMolecular graphs

Identifiers

PMID42321843
PMCPMC13282873

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.