Evidence map›Paper›PMID 37498544›Full record

ArticleBioinformatics (Oxford, England)2023

ICARUS: flexible protein structural alignment based on Protein Units.

Gabriel Cretin, Charlotte Périn, Nicolas Zimmermann, Tatiana Galochkina, Jean-Christophe Gelly

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Detection of circular permutations by Protein Language Models.Computational and structural biotechnology journal · 2025
    Article
4 · The record

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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 CretinUniversité Paris Cité and Université des Antilles and Université de la Réunion, INSERM, BIGR, F-75015 Paris, France.ORCID 0000-0002-3522-7083
Charlotte PérinUniversité Paris Cité and Université des Antilles and Université de la Réunion, INSERM, BIGR, F-75015 Paris, France.
Nicolas ZimmermannUniversité Paris Cité and Université des Antilles and Université de la Réunion, INSERM, BIGR, F-75015 Paris, France.
Tatiana GalochkinaUniversité Paris Cité and Université des Antilles and Université de la Réunion, INSERM, BIGR, F-75015 Paris, France.ORCID 0000-0002-3608-5208
Jean-Christophe GellyUniversité Paris Cité and Université des Antilles and Université de la Réunion, INSERM, BIGR, F-75015 Paris, France.ORCID 0000-0001-5138-361X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationAlignment of protein structures is a major problem in structural biology. The first approach commonly used is to consider proteins as rigid bodies. However, alignment of protein structures can be very complex due to conformational variability, or complex evolutionary relationships between proteins such as insertions, circular permutations or repetitions. In such cases, introducing flexibility becomes useful for two reasons: (i) it can help compare two protein chains which adopted two different conformational states, such as due to proteins/ligands interaction or post-translational modifications, and (ii) it aids in the identification of conserved regions in proteins that may have distant evolutionary relationships.

resultsWe propose ICARUS, a new approach for flexible structural alignment based on identification of Protein Units, evolutionarily preserved structural descriptors of intermediate size, between secondary structures and domains. ICARUS significantly outperforms reference methods on a dataset of very difficult structural alignments. AVAILABILITY AND IMPLEMENTATION: Code is freely available online at https://github.com/DSIMB/ICARUS.

Indexed as

AlgorithmsProteinsBiological EvolutionProtein Structure, SecondarySequence AlignmentSoftwareProteins

Identifiers

PMID37498544
PMCPMC10400377

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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.