Evidence map›Paper›PMID 42410710›Full record

ArticleJournal of computational chemistry2026

Reaction Enumeration Based on NBO-Informed Molecular Graphs.

Javier E Alfonso-Ramos, Thijs Stuyver

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Javier E Alfonso-RamosEcole Nationale Supérieure de Chimie de Paris, Université PSL, CNRS, i-CLeHS, Paris, France.
Thijs StuyverEcole Nationale Supérieure de Chimie de Paris, Université PSL, CNRS, i-CLeHS, Paris, France.ORCID https://orcid.org/0000-0002-8322-0572

Funding

Agence Nationale de la Recherche ANR-22-CPJ1-0093-01Agence Nationale de la Recherche ANR-24-CE29-5745Grand Équipement National De Calcul Intensif 2023-100732
6 · The paper itself

Abstract

Enumeration of reaction products and pathways is essential for understanding chemical reactivity and for the rational design of new chemical technologies. Traditional graph-based enumeration methods represent molecules through atomic connectivity and simple valency rules, with bond breaking and formation encoded as edge modifications. However, this representation becomes ambiguous for many important classes of chemical systems, including transition-metal complexes, hypervalent compounds, and molecules with extensive resonance or delocalization. Here, we introduce a molecular graph representation constructed at the level of valence orbitals rather than atomic connectivity alone. When combined with quantum-mechanical natural bond orbital (NBO) analysis, the method automatically detects delocalized bonding motifs and adaptively increases reaction-step complexity when chemically warranted. This integration enables systematic and computationally efficient identification of chemically meaningful reaction pathways that lie beyond the practical scope of conventional graph-based approaches. We demonstrate the robustness of the method across challenging bonding environments, including organometallic catalytic cycles, pericyclic reactions in highly delocalized systems, main-group hypervalent chemistry, and multicomponent reaction networks.

Identifiers

PMID42410710
PMCPMC13338458

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Registered trials

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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.