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Jelena Vucinic
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Positive multistate protein design
J Vucinic, D Simoncini, M Ruffini, S Barbe, T Schiex
Bioinformatics 36 (1), 122-130, 2020
222020
Seven amino acid types suffice to create the core fold of RNA polymerase
S Yagi, AK Padhi, J Vucinic, S Barbe, T Schiex, R Nakagawa, D Simoncini, ...
Journal of the American Chemical Society 143 (39), 15998-16006, 2021
182021
Guaranteed diversity and optimality in cost function network based computational protein design methods
M Ruffini, J Vucinic, S de Givry, G Katsirelos, S Barbe, T Schiex
Algorithms 14 (6), 168, 2021
152021
Guaranteed diversity & quality for the weighted CSP
M Ruffini, J Vucinic, S de Givry, G Katsirelos, S Barbe, T Schiex
2019 IEEE 31st international conference on tools with artificial …, 2019
132019
A comparative study to decipher the structural and dynamics determinants underlying the activity and thermal stability of GH-11 xylanases
J Vucinic, G Novikov, CY Montanier, C Dumon, T Schiex, S Barbe
International Journal of Molecular Sciences 22 (11), 5961, 2021
112021
Deep evolutionary forecasting identifies highly-mutated SARS-CoV-2 variants via functional sequence-landscape enumeration
MS Colom, J Vucinic, J Adolf-Bryfogle, JW Bowman, S Verel, ...
Research Square, rs. 3. rs-2248327, 2022
12022
Complete Combinatorial Mutational Enumeration of a protein functional site enables sequence-landscape mapping and identifies highly-mutated variants that retain activity
MS Colom, J Vucinic, J Adolf-Bryfogle, JW Bowman, S Verel, ...
Research Square, 2023
2023
Molecular Modeling and Artificial Intelligence for Computational Protein Design: conception of optimized enzymes and nanobodies
J Vucinic
INSA de Toulouse, 2021
2021
Computational strategy for protein design based on structure-dynamics-activity relationship insights: GH11Xylanases as a casestudy
G Novikov, J Vucinic, C Montanier, T Schiex, C Dumon, S Barbe
13. Carbohydrate Bioengineering Meeting, 2019
2019
Pushing the computational frontiers of multistate protein design
J Vucinic, M Ruffini, D Simoncini, T Schiex, S Barbe
2019
Constraint Programming and Graphical models-Pushing data into your models, The protein design case.
T Schiex, S Barbe, D Simoncini, J Vucinic, M Ruffini, D Allouche
23rd International Symposium on Mathematical Programming (ISMP-18), np, 2018
2018
Guaranted Diversity and Optimality for Computational Protein Design. Preprints 2021, 1, 0
M Ruffini, J Vucinic, S de Givry, G Katsirelos, S Barbe, T Schiex
Bioinformatics 40, 389-408, 2000
2000
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