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Olivier Dennler

dblp:357/8941 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2025
0009-0005-2408-1102ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author · 2 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 › phylogenetics
phylogenomics
0.912025
FUSE-PhyloTree: linking functions and sequence conservation modules of a protein family through phylogenomic analysis · Bioinform. 2025
Bioinformatics and computational biology › protein sequence analysis
protein family analysis
0.912025
FUSE-PhyloTree: linking functions and sequence conservation modules of a protein family through phylogenomic analysis · Bioinform. 2025
Bioinformatics and computational biology › phylogenetics › evolutionary history reconstruction
ancestral sequence reconstruction
0.312025
FUSE-PhyloTree: linking functions and sequence conservation modules of a protein family through phylogenomic analysis · Bioinform. 2025

Methods — techniques the papers use, named apart from their topics

phylogenetic reconciliation · 0.9local multiple sequence alignment · 0.9
YearPublicationVenuePosition
2025 FUSE-PhyloTree: linking functions and sequence conservation modules of a protein family through phylogenomic analysis
abstract
SUMMARY: FUSE-PhyloTree is a phylogenomic analysis software for identifying local sequence conservation associated with the different functions of a multi-functional (e.g. paralogous or multi-domain) protein family. FUSE-PhyloTree introduces an original approach that combines advanced sequence analysis with phylogenetic methods. First, local sequence conservation modules within the family are identified using partial local multiple sequence alignment. Next, the evolution of the detected modules and known protein functions is inferred within the family's phylogenetic tree using three-level phylogenetic reconciliation and ancestral state reconstruction. As a result, FUSE-PhyloTree provides a gene tree annotated with both predicted sequence modules and ancestral gene functions, enabling the association of functions with specific sequence regions based on their co-emergence. AVAILABILITY AND IMPLEMENTATION: FUSE-PhyloTree is provided as Docker and Singularity images including all the required software tools. Images, source code, test data, and documentation are available at https://github.com/OcMalde/fuse-phylotree and https://zenodo.org/records/15855068.
Olivier Dennler, Elisa Chenel, François Coste, Samuel Blanquart, Catherine Belleannée, Nathalie Théret
Bioinform.1
2023 Phylogenetic inference of the emergence of sequence modules and protein-protein interactions in the ADAMTS-TSL family
abstract
Numerous computational methods based on sequences or structures have been developed for the characterization of protein function, but they are still unsatisfactory to deal with the multiple functions of multi-domain protein families. Here we propose an original approach based on 1) the detection of conserved sequence modules using partial local multiple alignment, 2) the phylogenetic inference of species/genes/modules/functions evolutionary histories, and 3) the identification of co-appearances of modules and functions. Applying our framework to the multidomain ADAMTS-TSL family including ADAMTS (A Disintegrin-like and Metalloproteinase with ThromboSpondin motif) and ADAMTS-like proteins over nine species including human, we identify 45 sequence module signatures that are associated with the occurrence of 278 Protein-Protein Interactions in ancestral genes. Some of these signatures are supported by published experimental data and the others provide new insights (e.g. ADAMTS-5). The module signatures of ADAMTS ancestors notably highlight the dual variability of the propeptide and ancillary regions suggesting the importance of these two regions in the specialization of ADAMTS during evolution. Our analyses further indicate convergent interactions of ADAMTS with COMP and CCN2 proteins. Overall, our study provides 186 sequence module signatures that discriminate distinct subgroups of ADAMTS and ADAMTSL and that may result from selective pressures on novel functions and phenotypes.
Olivier Dennler, François Coste, Samuel Blanquart, Catherine Belleannée, Nathalie Théret
PLoS Comput. Biol.1