Evidence map›Paper›PMID 41721738›Full record

ArticleJournal of chemical theory and computation2026

Graph-Based Internal Coordinate Analysis for Transition State Characterization.

Alister S Goodfellow, Bao N Nguyen

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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

2 citing papers in PubMed.

  1. Article
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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.

Alister S GoodfellowSchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UK.ORCID 0000-0002-0064-5007
Bao N NguyenSchool of Chemistry, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UK.ORCID 0000-0002-0254-025X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present graphRC, a method for rapid transition state (TS) mode analysis using internal coordinates derived from molecular graphs. The imaginary mode of a TS describes the direction of atomic motion at the saddle point, providing a local approximation to the reaction coordinate, while Intrinsic Reaction Coordinate (IRC) and Quick Reaction Coordinate (QRC) calculations trace the full pathway to adjacent minima. In all cases, displacements are expressed in Cartesian coordinates and do not directly describe changes in bonding. By translating these into internal coordinate changes (bonds, angles, and dihedrals), graphRC provides chemical insight into the TS mode and reaction coordinate trajectories without prior knowledge of reactant and product structures. Molecular connectivity is determined using xyzgraph, a flexible graph builder validated across 4846 structures spanning 61 elements and 490 element-pair bond types, with close agreement to DFT-derived bonding. Initial validation on 16 diverse TS achieved 100% identification of bond changes, rotations, and inversions, with zero false positives compared to IRC and QRC connectivity. Across 395 TS covering organic, organometallic, and catalytic transformations, normal-mode analysis alone detects the primary bond change in every case, with high agreement to IRC-derived connectivity. This enables programmatic TS verification at a fraction of the cost of formal reaction coordinate calculations, complementing more rigorous methods with rapid, interpretable analysis.

Identifiers

PMID41721738
PMCPMC12980719

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LicenceCC BY
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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.