🦁
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PEP-FOLD3: faster de novo structure prediction for linear peptides in solution and in complex
Alexis Lamiable,
P. Thévenet,
Julien Rey,
Marek Vavrusa,
P. Derreumaux,
P. Tufféry
|
9 |
2016 |
9 🦁
|
🦁
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Automated prediction of three-way junction topological families in RNA secondary structures
Alexis Lamiable,
D. Barth,
A. Denise,
F. Quessette,
S. Vial,
E. Westhof
|
4 |
2012 |
4 🦁
|
🦁
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Revealing invisible cell phenotypes with conditional generative modeling
12 auth.
Alexis Lamiable,
T. Champetier,
Francesco Leonardi,
E. Cohen,
Peter Sommer,
David Hardy,
...
N. Argy,
A. Massougbodji,
E. Del Nery,
G. Cottrell,
Yong-Jun Kwon,
Auguste Genovesio
|
4 |
2022 |
4 🦁
|
🐬
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Order in Disorder as Observed by the “Hydrophobic Cluster Analysis” of Protein Sequences
Tristan Bitard-Feildel,
Alexis Lamiable,
J. Mornon,
I. Callebaut
|
4 |
2018 |
4 🐬
|
🦁
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An Algorithmic Game-Theory Approach for Coarse-Grain Prediction of RNA 3D Structure
Alexis Lamiable,
F. Quessette,
S. Vial,
D. Barth,
A. Denise
|
3 |
2013 |
3 🦁
|
🦁
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A critical assessment of hidden markov model sub‐optimal sampling strategies applied to the generation of peptide 3D models
Alexis Lamiable,
P. Thévenet,
P. Tufféry
|
3 |
2016 |
3 🦁
|
🦁
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A topology-based investigation of protein interaction sites using Hydrophobic Cluster Analysis.
7 auth.
Alexis Lamiable,
Tristan Bitard-Feildel,
Joseph Rebehmed,
Flavien Quintus,
F. Schoentgen,
J. Mornon,
...
I. Callebaut
|
3 |
2019 |
3 🦁
|
🐬
|
No Free Lunch in Self Supervised Representation Learning
Ihab Bendidi,
Adrien Bardes,
E. Cohen,
Alexis Lamiable,
G. Bollot,
Auguste Genovesio
|
3 |
2023 |
3 🐬
|
🐜
|
Discovery and Evolution of New Domains in Yeast Heterochromatin Factor Sir4 and Its Partner Esc1
7 auth.
Guilhem Faure,
Kévin Jézéquel,
Florian Roisné-Hamelin,
Tristan Bitard-Feildel,
Alexis Lamiable,
S. Marcand,
...
I. Callebaut
|
3 |
2019 |
3 🐜
|