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Gabriel Cretin

dblp:334/4864 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0002-3522-7083ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › structural biology
flexible molecular alignment
0.712023
ICARUS: flexible protein structural alignment based on Protein Units · Bioinform. 2023
Bioinformatics and computational biology › protein structure analysis
protein structure alignment
0.712023
ICARUS: flexible protein structural alignment based on Protein Units · Bioinform. 2023
Bioinformatics and computational biology
structural biology
0.712023
ICARUS: flexible protein structural alignment based on Protein Units · Bioinform. 2023
YearPublicationVenuePosition
2023 ICARUS: flexible protein structural alignment based on Protein Units
abstract
MOTIVATION: Alignment 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. RESULTS: We 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.
Gabriel Cretin, Charlotte Périn, Nicolas Zimmermann, Tatiana Galochkina, Jean-Christophe Gelly
Bioinform.1