Jérôme Tubiana
Tel Aviv University(IL)
Publications by Year
Research Areas
Protein Structure and Dynamics, Global Peace and Security Dynamics, RNA and protein synthesis mechanisms, SARS-CoV-2 and COVID-19 Research, Machine Learning in Bioinformatics
Most-Cited Works
- → ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction(2022)231 cited
- → Learning protein constitutive motifs from sequence data(2019)151 cited
- → Emergence of Compositional Representations in Restricted Boltzmann Machines(2017)121 cited
- → RBM-MHC: A Semi-Supervised Machine-Learning Method for Sample-Specific Prediction of Antigen Presentation by HLA-I Alleles(2020)53 cited
- → Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins(2019)42 cited
- → Superimmunity by pan-sarbecovirus nanobodies(2022)40 cited
- → Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergies(2023)34 cited
- → Neural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity(2023)29 cited
- → Inference of compressed Potts graphical models(2020)27 cited
- → Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study(2023)25 cited