Evidence map›Paper›PMID 36814296›Full record

ArticleJournal of cheminformatics2023

Graph isomorphism-based algorithm for cross-checking chemical and crystallographic descriptions.

Andrius Merkys, Antanas Vaitkus, Algirdas Grybauskas, Aleksandras Konovalovas, Miguel Quirós, Saulius Gražulis

Abstract read
In one paragraph

Article in Journal of cheminformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  4. An NMR Database for Organic and Organometallic Compounds.Molecules (Basel, Switzerland) · 2025
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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

6 authors.

Andrius MerkysSector of Crystallography and Chemical Informatics, Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania. andrius.merkys@gmc.vu.lt.ORCID https://orcid.org/0000-0002-7731-6236
Antanas VaitkusSector of Crystallography and Chemical Informatics, Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.ORCID https://orcid.org/0000-0002-5944-1391
Algirdas GrybauskasSector of Crystallography and Chemical Informatics, Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.ORCID https://orcid.org/0000-0003-3391-9016
Aleksandras KonovalovasDepartment of Biochemistry and Molecular Biology, Institute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Miguel QuirósDepartamento de Química Inorgánica, Universidad de Granada, 18071, Granada, Spain.ORCID https://orcid.org/0000-0002-1583-4468
Saulius GražulisSector of Crystallography and Chemical Informatics, Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.ORCID https://orcid.org/0000-0002-7928-5218

Funding

Research Council of Lithuania MIP-20-21
6 · The paper itself

Abstract

Published reports of chemical compounds often contain multiple machine-readable descriptions which may supplement each other in order to yield coherent and complete chemical representations. This publication presents a method to cross-check such descriptions using a canonical representation and isomorphism of molecular graphs. If immediate agreement between compound descriptions is not found, the algorithm derives the minimal set of simplifications required for both descriptions to arrive to a matching form (if any). The proposed algorithm is used to cross-check chemical descriptions from the Crystallography Open Database to identify coherently described entries as well as those requiring further curation.

Indexed as

Crystallography Open DatabaseGraph isomorphismMolecular graphsSMILES

Identifiers

PMID36814296
PMCPMC9948373

What OpenQuestion holds

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Registered trials

None linked

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.