Julie Bernauer
Julie Bernauer
Research Scientist at Inria
Verified email at inria.fr - Homepage
Cited by
Cited by
Community-wide assessment of protein-interface modeling suggests improvements to design methodology
SJ Fleishman, TA Whitehead, EM Strauch, JE Corn, S Qin, HX Zhou, ...
Journal of molecular biology 414 (2), 289-302, 2011
DiMoVo: a Voronoi tessellation-based method for discriminating crystallographic and biological protein–protein interactions
J Bernauer, RP Bahadur, F Rodier, J Janin, A Poupon
Bioinformatics 24 (5), 652-658, 2008
Fully differentiable coarse-grained and all-atom knowledge-based potentials for RNA structure evaluation
J Bernauer, X Huang, AYL Sim, M Levitt
Rna 17 (6), 1066-1075, 2011
A new protein–protein docking scoring function based on interface residue properties
J Bernauer, J Azé, J Janin, A Poupon
Bioinformatics 23 (5), 555-562, 2007
Catalytic mechanism and structure of viral flavin-dependent thymidylate synthase ThyX
S Graziani, J Bernauer, S Skouloubris, M Graille, CZ Zhou, C Marchand, ...
Journal of Biological Chemistry 281 (33), 24048-24057, 2006
Markov state models reveal a two-step mechanism of miRNA loading into the human argonaute protein: selective binding followed by structural re-arrangement
H Jiang, FK Sheong, L Zhu, X Gao, J Bernauer, X Huang
PLoS computational biology 11 (7), e1004404, 2015
HalX: an open-source LIMS (Laboratory Information Management System) for small-to large-scale laboratories
J Prilusky, E Oueillet, N Ulryck, A Pajon, J Bernauer, I Krimm, ...
Acta Crystallographica Section D: Biological Crystallography 61 (6), 671-678, 2005
Multiscale modeling of macromolecular biosystems
SC Flores, J Bernauer, S Shin, R Zhou, X Huang
Briefings in bioinformatics 13 (4), 395-405, 2012
A collaborative filtering approach for protein-protein docking scoring functions
T Bourquard, J Bernauer, J Azé, A Poupon
PloS one 6 (4), e18541, 2011
Digits: the deep learning gpu training system
L Yeager, J Bernauer, A Gray, M Houston
ICML 2015 AutoML Workshop, 2015
Characterizing RNA ensembles from NMR data with kinematic models
R Fonseca, DV Pachov, J Bernauer, H van den Bedem
Nucleic acids research 42 (15), 9562-9572, 2014
Protein-RNA complexes and efficient automatic docking: expanding RosettaDock possibilities
A Guilhot-Gaudeffroy, C Froidevaux, J Azé, J Bernauer
PloS one 9 (9), e108928, 2014
A docking analysis of the statistical physics of protein–protein recognition
J Bernauer, A Poupon, J Azé, J Janin
Physical biology 2 (2), S17, 2005
ESBTL: efficient PDB parser and data structure for the structural and geometric analysis of biological macromolecules
S Loriot, F Cazals, J Bernauer
Bioinformatics 26 (8), 1127-1128, 2010
Coupled Motions in β2AR:Gαs Conformational Ensembles
DV Pachov, R Fonseca, D Arnol, J Bernauer, H van den Bedem
Journal of chemical theory and computation 12 (3), 946-956, 2016
Comparing Voronoi and Laguerre tessellations in the protein-protein docking context
T Bourquard, J Bernauer, J Azé, A Poupon
2009 Sixth International Symposium on Voronoi Diagrams, 225-232, 2009
Efficient large-scale language model training on gpu clusters
D Narayanan, M Shoeybi, J Casper, P LeGresley, M Patwary, ...
arXiv preprint arXiv:2104.04473, 2021
Evaluating mixture models for building RNA knowledge-based potentials
AYL Sim, O Schwander, M Levitt, J Bernauer
Journal of Bioinformatics and Computational Biology 10 (02), 1241010, 2012
GARN: sampling RNA 3D structure space with game theory and knowledge-based scoring strategies
M Boudard, J Bernauer, D Barth, J Cohen, A Denise
PloS one 10 (8), e0136444, 2015
GARN2: coarse-grained prediction of 3D structure of large RNA molecules by regret minimization
M Boudard, D Barth, J Bernauer, A Denise, J Cohen
Bioinformatics 33 (16), 2479-2486, 2017
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