| Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ... MAbs 14 (1), 2008790, 2022 | 88 | 2022 |
| Individualized VDJ recombination predisposes the available Ig sequence space A Slabodkin, M Chernigovskaya, I Mikocziova, R Akbar, L Scheffer, ... Genome Research 31 (12), 2209-2224, 2021 | 34 | 2021 |
| Adaptive immune receptor repertoire analysis V Mhanna, H Bashour, K Lê Quý, P Barennes, P Rawat, V Greiff, ... Nature Reviews Methods Primers 4 (1), 6, 2024 | 22 | 2024 |
| Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability H Bashour, E Smorodina, M Pariset, J Zhong, R Akbar, M Chernigovskaya, ... Communications Biology 7 (1), 922, 2024 | 9 | 2024 |
| Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies. mAbs R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ... Taylor & Francis, 2022 | 8 | 2022 |
| Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies. mAbs 2022; 14: 2008790 R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ... | 5 | |
| Cartography of the developability landscapes of native and human-engineered antibodies H Bashour, E Smorodina, M Pariset, J Zhong, R Akbar, M Chernigovskaya, ... | 1 | 2023 |
| Atypical memory B cells form a pre-plasmacellular reservoir for steady-state IgD responses to common nasopharyngeal antigens R Tachó-Piñot, H Bashour, M Filipska, S Tejedor-Vaquero, ... bioRxiv, 2023.08. 29.554748, 2023 | | 2023 |