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Madeline Deniaud

dblp:222/9625 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2 · 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 · 67% Computational science and engineering · 33%

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

TopicWeightPapersLastEvidence papers
Computational science and engineering
correlation analysis
0.512021
Bios2cor: an R package integrating dynamic and evolutionary correlations to identify functionally important residues in proteins · Bioinform. 2021
Bioinformatics and computational biology › protein function prediction
functional residue prediction
0.512021
Bios2cor: an R package integrating dynamic and evolutionary correlations to identify functionally important residues in proteins · Bioinform. 2021
Bioinformatics and computational biology
protein structure analysis
0.512021
Bios2cor: an R package integrating dynamic and evolutionary correlations to identify functionally important residues in proteins · Bioinform. 2021

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

multiple sequence alignment · 0.5molecular dynamics simulation · 0.5covariation analysis · 0.5
YearPublicationVenuePosition
2021 Bios2cor: an R package integrating dynamic and evolutionary correlations to identify functionally important residues in proteins
abstract
SUMMARY: Both dynamic correlations in protein sidechain motions during molecular dynamics (MD) simulations and evolutionary correlations in multiple sequence alignments (MSAs) of homologous proteins may reveal functionally important residues. We developed the R package Bios2cor that provides a unique framework to investigate and, possibly, integrate both analyses. Bios2cor starts with an MSA or an MD trajectory and computes correlation/covariation scores between positions in the MSA or between sidechain dihedral angles or rotamers in the MD trajectory. In addition, Bios2cor provides a variety of tools for the analysis, the visualization and the interpretation of the data. AVAILABILITY AND IMPLEMENTATION: The R package Bios2cor is available from the Comprehensive R Archive Network, at https://CRAN.R-project.org/package=Bios2cor.
Bruck Taddese, Antoine Garnier, Madeline Deniaud, Daniel Henrion, Marie Chabbert
Bioinform.3
2018 Evolution of chemokine receptors is driven by mutations in the sodium binding site
abstract
Chemokines and their receptors (members of the GPCR super-family) are involved in a wide variety of physiological processes and diseases; thus, understanding the specificity of the chemokine receptor family could help develop new receptor specific drugs. Here, we explore the evolutionary mechanisms that led to the emergence of the chemokine receptors. Based on GPCR hierarchical classification, we analyzed nested GPCR sets with an eigen decomposition approach of the sequence covariation matrix and determined three key residues whose mutation was crucial for the emergence of the chemokine receptors and their subsequent divergence into homeostatic and inflammatory receptors. These residues are part of the allosteric sodium binding site. Their structural and functional roles were investigated by molecular dynamics simulations of CXCR4 and CCR5 as prototypes of homeostatic and inflammatory chemokine receptors, respectively. This study indicates that the three mutations crucial for the evolution of the chemokine receptors dramatically altered the sodium binding mode. In CXCR4, the sodium ion is tightly bound by four protein atoms and one water molecule. In CCR5, the sodium ion is mobile within the binding pocket and moves between different sites involving from one to three protein atoms and two to five water molecules. Analysis of chemokine receptor evolution reveals that a highly constrained sodium binding site characterized most ancient receptors, and that the constraints were subsequently loosened during the divergence of this receptor family. We discuss the implications of these findings for the evolution of the chemokine receptor functions and mechanisms of action.
Bruck Taddese, Madeline Deniaud, Antoine Garnier, Asma Tiss, Hajer Guissouma, Hervé Abdi, Daniel Henrion, Marie Chabbert
PLoS Comput. Biol.2