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Jasmin Cevost

dblp:214/6123 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

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

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

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 › sequence analysis › sequence motif analysis
position weight matrix
0.312018
ThreaDNA: predicting DNA mechanics' contribution to sequence selectivity of proteins along whole genomes · Bioinform. 2018
Bioinformatics and computational biology › protein analysis › protein bioinformatics
protein-DNA interaction
0.312018
ThreaDNA: predicting DNA mechanics' contribution to sequence selectivity of proteins along whole genomes · Bioinform. 2018
Bioinformatics and computational biology
sequence analysis
0.312018
ThreaDNA: predicting DNA mechanics' contribution to sequence selectivity of proteins along whole genomes · Bioinform. 2018

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

position-weight-matrix formalism · 0.3nanoscale modeling of DNA deformation · 0.3
YearPublicationVenuePosition
2018 ThreaDNA: predicting DNA mechanics' contribution to sequence selectivity of proteins along whole genomes
abstract
Motivation: Many DNA-binding proteins recognize their target sequences indirectly, by sensing DNA's response to mechanical distortion. ThreaDNA estimates this response based on high-resolution structures of the protein-DNA complex of interest. Implementing an efficient nanoscale modeling of DNA deformations involving essentially no adjustable parameters, it returns the profile of deformation energy along whole genomes, at base-pair resolution, within minutes on usual laptop/desktop computers. Our predictions can also be easily combined with estimations of direct selectivity through a generalized form of position-weight-matrices. The formalism of ThreaDNA is accessible to a wide audience. Results: We demonstrate the importance of indirect readout for the nucleosome as well as the bacterial regulators Fis and CRP. Combined with the direct contribution provided by usual sequence motifs, it significantly improves the prediction of sequence selectivity, and allows quantifying the two distinct physical mechanisms underlying it. Availability and implementation: Python software available at bioinfo.insa-lyon.fr, natively executable on Linux/MacOS systems with a user-friendly graphical interface. Galaxy webserver version available. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.
Jasmin Cevost, Cédric Vaillant, Sam Meyer
Bioinform.1