Jérôme Tubiana

ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction

Jérôme Tubiana, Dina Schneidman‐Duhovny, Haim J. Wolfson · Nature Methods · 2022 · 221 citations · Full text

Structure-based Protein, Structural Bioinformatics, Biomolecular Structure Prediction +10

Learning protein constitutive motifs from sequence data

Jérôme Tubiana, Simona Cocco, Rémi Monasson · SHILAP Revista de lepidopterología · 2019 · 148 citations · Full text

Engineering, Structural Bioinformatics, Genetics +21

Emergence of Compositional Representations in Restricted Boltzmann Machines

Jérôme Tubiana, R. Monasson · Physical Review Letters · 2017 · 121 citations · Full text

RBM-MHC: A Semi-Supervised Machine-Learning Method for Sample-Specific Prediction of Antigen Presentation by HLA-I Alleles

Barbara Bravi, Jérôme Tubiana, Simona Cocco et al. · Cell Systems · 2020 · 53 citations · Full text

Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins

Jérôme Tubiana, Simona Cocco, Rémi Monasson · Neural Computation · 2019 · 42 citations · Full text

Geometric Learning, Lattice Proteins, Machine Learning +24