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Tristan Bitard-Feildel

Showing results (1-10 of 16) with videos related to

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Peerj. Computer Science|October 7, 2021
Navigating the amino acid sequence space between functional proteins using a deep learning frameworkTristan Bitard-Feildel
Scientific Reports|January 31, 2017
Exploring the dark foldable proteome by considering hydrophobic amino acids topologyTristan Bitard-Feildel, Isabelle Callebaut
Bioinformatics and Biology Insights|August 6, 2016
Computational Identification of Novel Genes: Current and Future PerspectivesSteffen Klasberg, Tristan Bitard-Feildel, Ludovic Mallet
BMC Bioinformatics|January 29, 2015
MDAT- Aligning multiple domain arrangementsCarsten Kemena, Tristan Bitard-Feildel, Erich Bornberg-Bauer
Bioinformatics (Oxford, England)|June 23, 2017
PhylOligo: a package to identify contaminant or untargeted organism sequences in genome assembliesLudovic Mallet, Tristan Bitard-Feildel, Franck Cerutti, et al.
Proteins|October 28, 2022
A sequence-based foldability score combined with AlphaFold2 predictions to disentangle the protein order/disorder continuumApolline Bruley, Tristan Bitard-Feildel, Isabelle Callebaut, et al.
Proteomics|October 10, 2018
Order in Disorder as Observed by the "Hydrophobic Cluster Analysis" of Protein SequencesTristan Bitard-Feildel, Alexis Lamiable, Jean-Paul Mornon, et al.
Biochimie|March 5, 2015
Detection of orphan domains in Drosophila using "hydrophobic cluster analysis"Tristan Bitard-Feildel, Magdalena Heberlein, Erich Bornberg-Bauer, et al.
Scientific Reports|November 2, 2018
"Infostery" analysis of short molecular dynamics simulations identifies highly sensitive residues and predicts deleterious mutationsYasaman Karami, Tristan Bitard-Feildel, Elodie Laine, et al.
The FEBS Journal|May 27, 2018
Origins and structural properties of novel and de novo protein domains during insect evolutionSteffen Klasberg, Tristan Bitard-Feildel, Isabelle Callebaut, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Peerj. Computer Science|October 7, 2021
Navigating the amino acid sequence space between functional proteins using a deep learning frameworkTristan Bitard-Feildel
Scientific Reports|January 31, 2017
Exploring the dark foldable proteome by considering hydrophobic amino acids topologyTristan Bitard-Feildel, Isabelle Callebaut
Bioinformatics and Biology Insights|August 6, 2016
Computational Identification of Novel Genes: Current and Future PerspectivesSteffen Klasberg, Tristan Bitard-Feildel, Ludovic Mallet
BMC Bioinformatics|January 29, 2015
MDAT- Aligning multiple domain arrangementsCarsten Kemena, Tristan Bitard-Feildel, Erich Bornberg-Bauer
Bioinformatics (Oxford, England)|June 23, 2017
PhylOligo: a package to identify contaminant or untargeted organism sequences in genome assembliesLudovic Mallet, Tristan Bitard-Feildel, Franck Cerutti, et al.
Proteins|October 28, 2022
A sequence-based foldability score combined with AlphaFold2 predictions to disentangle the protein order/disorder continuumApolline Bruley, Tristan Bitard-Feildel, Isabelle Callebaut, et al.
Proteomics|October 10, 2018
Order in Disorder as Observed by the "Hydrophobic Cluster Analysis" of Protein SequencesTristan Bitard-Feildel, Alexis Lamiable, Jean-Paul Mornon, et al.
Biochimie|March 5, 2015
Detection of orphan domains in Drosophila using "hydrophobic cluster analysis"Tristan Bitard-Feildel, Magdalena Heberlein, Erich Bornberg-Bauer, et al.
Scientific Reports|November 2, 2018
"Infostery" analysis of short molecular dynamics simulations identifies highly sensitive residues and predicts deleterious mutationsYasaman Karami, Tristan Bitard-Feildel, Elodie Laine, et al.
The FEBS Journal|May 27, 2018
Origins and structural properties of novel and de novo protein domains during insect evolutionSteffen Klasberg, Tristan Bitard-Feildel, Isabelle Callebaut, et al.
Pageof 2