Evidence map›Paper›PMID 38023327›Full record

ArticleBioinformatics advances2023

pyScoMotif: discovery of similar 3D structural motifs across proteins.

Gabriel Cia, Jean Kwasigroch, Basile Stamatopoulos, Marianne Rooman, Fabrizio Pucci

Abstract read
In one paragraph

Article in Bioinformatics advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Investigating enzyme function by geometric matching of catalytic motifs.Protein science : a publication of the Protein Society · 2026
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  8. An optimized relational database for querying structural patterns in proteins.Database : the journal of biological databases and curation · 2024
    Article
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

5 authors.

Gabriel CiaComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, 1050, Belgium.
Jean KwasigrochComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, 1050, Belgium.
Basile StamatopoulosLaboratory of Clinical Cell Therapy, Jules Bordet Institute, Université Libre de Bruxelles, Brussels, 1070, Belgium.
Marianne RoomanComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, 1050, Belgium.
Fabrizio PucciComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, 1050, Belgium.ORCID https://orcid.org/0000-0003-2916-022X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: The fast and accurate detection of similar geometrical arrangements of protein residues, known as 3D structural motifs, is highly relevant for many applications such as binding region and catalytic site detection, drug discovery and structure conservation analyses. With the recent publication of new protein structure prediction methods, the number of available protein structures is exploding, which makes efficient and easy-to-use tools for identifying 3D structural motifs essential. Results: We present an open-source Python package that enables the search for both exact and mutated motifs with position-specific residue substitutions. The tool is efficient, flexible, accurate, and suitable to run both on computer clusters and personal laptops. Two successful applications of pyScoMotif for catalytic site identification are showcased. Availability and implementation: The pyScoMotif package can be installed from the PyPI repository and is also available at https://github.com/3BioCompBio/pyScoMotif. It is free to use for non-commercial purposes.

Identifiers

PMID38023327
PMCPMC10640396

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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.