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Gilles Travé

dblp:72/5931 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2011
0000-0002-4160-4121ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein-protein interaction prediction
domain-peptide interaction prediction
0.112011
Phage display can select over-hydrophobic sequences that may impair prediction of natural domain-peptide interactions · Bioinform. 2011
Bioinformatics and computational biology
protein-protein interaction prediction
0.112011
Phage display can select over-hydrophobic sequences that may impair prediction of natural domain-peptide interactions · Bioinform. 2011
Bioinformatics and computational biology
protein function prediction
0.112008
Discovery of candidate KEN-box motifs using Cell Cycle keyword enrichment combined with native disorder prediction and motif conservation · Bioinform. 2008
Bioinformatics and computational biology › sequence analysis › motif discovery
short linear motif discovery
0.112008
Discovery of candidate KEN-box motifs using Cell Cycle keyword enrichment combined with native disorder prediction and motif conservation · Bioinform. 2008
Bioinformatics and computational biology › protein structure prediction
protein disorder prediction
0.012008
Discovery of candidate KEN-box motifs using Cell Cycle keyword enrichment combined with native disorder prediction and motif conservation · Bioinform. 2008
Bioinformatics and computational biology
protein structure prediction
0.012008
Discovery of candidate KEN-box motifs using Cell Cycle keyword enrichment combined with native disorder prediction and motif conservation · Bioinform. 2008

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

phage display · 0.1binding specificity profiling · 0.1native disorder prediction · 0.1motif conservation analysis · 0.1keyword enrichment · 0.1
YearPublicationVenuePosition
2011 Phage display can select over-hydrophobic sequences that may impair prediction of natural domain-peptide interactions
abstract
MOTIVATION: The phage display peptide selection approach is widely used for defining binding specificities of globular domains. PDZ domains recognize partner proteins via C-terminal motifs and are often used as a model for interaction predictions. Here, we investigated to which extent phage display data that were recently published for 54 human PDZ domains can be applied to the prediction of human PDZ-peptide interactions. RESULTS: Promising predictions were obtained for one-third of the 54 PDZ domains. For the other two-thirds, we detected in the phage display peptides an important bias for hydrophobic amino acids that seemed to impair correct predictions. Therefore, phage display-selected peptides may be over-hydrophobic and of high affinity, while natural interaction motifs are rather hydrophilic and mostly combine low affinity with high specificity. We suggest that potential amino acid composition bias should systematically be investigated when applying phage display data to the prediction of specific natural domain-linear motif interactions.
Katja Luck, Gilles Travé
Bioinform.2
2008 Discovery of candidate KEN-box motifs using Cell Cycle keyword enrichment combined with native disorder prediction and motif conservation
abstract
MOTIVATION: KEN-box-mediated target selection is one of the mechanisms used in the proteasomal destruction of mitotic cell cycle proteins via the APC/C complex. While annotating the Eukaryotic Linear Motif resource (ELM, http://elm.eu.org/), we found that KEN motifs were significantly enriched in human protein entries with cell cycle keywords in the UniProt/Swiss-Prot database-implying that KEN-boxes might be more common than reported. RESULTS: Matches to short linear motifs in protein database searches are not, per se, significant. KEN-box enrichment with cell cycle Gene Ontology terms suggests that collectively these motifs are functional but does not prove that any given instance is so. Candidates were surveyed for native disorder prediction using GlobPlot and IUPred and for motif conservation in homologues. Among >25 strong new candidates, the most notable are human HIPK2, CHFR, CDC27, Dab2, Upf2, kinesin Eg5, DNA Topoisomerase 1 and yeast Cdc5 and Swi5. A similar number of weaker candidates were present. These proteins have yet to be tested for APC/C targeted destruction, providing potential new avenues of research.
Sushama Michael, Gilles Travé, Chenna Ramu, Claudia Chica, Toby J. Gibson
Bioinform.2