| Mega-scale experimental analysis of protein folding stability in biology and design K Tsuboyama, J Dauparas, J Chen, E Laine, Y Mohseni Behbahani, ... Nature, 1-11, 2023 | 81 | 2023 |
| Deep Local Analysis evaluates protein docking conformations with locally oriented cubes Y Mohseni Behbahani, S Crouzet, E Laine, A Carbone Bioinformatics 38 (19), 4505-4512, 2022 | 10 | 2022 |
| Deep local analysis deconstructs protein–protein interfaces and accurately estimates binding affinity changes upon mutation YM Behbahani, E Laine, A Carbone Bioinformatics 39 (Suppl 1), i544, 2023 | 7 | 2023 |
| From complete cross-docking to partners identification and binding sites predictions C Dequeker, Y Mohseni Behbahani, L David, E Laine, A Carbone PLoS computational biology 18 (1), e1009825, 2022 | 7 | 2022 |
| Persian sentences to phoneme sequences conversion based on recurrent neural networks YM Behbahani, B Babaali, M Turdalyuly Open Computer Science 6 (1), 219-225, 2016 | 5 | 2016 |
| Font recognition for persian optical character recognition system K Eghbali, H Veisi, M Mirzaie, YM Behbahani 2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP …, 2017 | 3 | 2017 |
| LEVELNET to visualize, explore, and compare protein–protein interaction networks YM Behbahani, P Saighi, F Corsi, E Laine, A Carbone Proteomics 23 (17), 2200159, 2023 | 1 | 2023 |
| Deep Local Analysis estimates effects of mutations on protein-protein interactions YM Behbahani, E Laine, A Carbone MLSB workshop at the 36th Conference on Neural Information Processing Systems, 2022 | 1 | 2022 |
| Vanishing boosted weights: A consistent algorithm to learn interpretable rules N Sokolovska, YM Behbahani Pattern Recognition Letters 152, 63-69, 2021 | 1 | 2021 |
| New computational approaches to study the effect of genetic mutations on the topology of protein-protein interaction networks YM Behbahani Sorbonne Université, 2022 | | 2022 |
Elodie LaineMaître de Conférences, LCQB, CNRS - Sorbonne UniversitéVerified email at upmc.fr
