| Computational approaches to therapeutic antibody design: established methods and emerging trends RA Norman, F Ambrosetti, AMJJ Bonvin, LJ Colwell, S Kelm, S Kumar, ... Briefings in Bioinformatics, 2019 | 177 | 2019 |
| Blind prediction of homo‐and hetero‐protein complexes: The CASP13‐CAPRI experiment MF Lensink, G Brysbaert, N Nadzirin, S Velankar, RAG Chaleil, T Gerguri, ... Proteins: Structure, Function, and Bioinformatics, 2019 | 120 | 2019 |
| Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment MF Lensink, G Brysbaert, T Mauri, N Nadzirin, S Velankar, RAG Chaleil, ... Proteins: Structure, Function, and Bioinformatics 89 (12), 1800-1823, 2021 | 94 | 2021 |
| Insights on protein thermal stability: a graph representation of molecular interactions M Miotto, PP Olimpieri, L Di Rienzo, F Ambrosetti, P Corsi, R Lepore, ... Bioinformatics 35 (15), 2569-2577, 2019 | 86 | 2019 |
| DeepRank: a deep learning framework for data mining 3D protein-protein interfaces N Renaud, C Geng, S Georgievska, F Ambrosetti, L Ridder, DF Marzella, ... Nature communications 12 (1), 7068, 2021 | 76 | 2021 |
| Modeling Antibody-Antigen Complexes by Information-Driven Docking F Ambrosetti, B Jiménez-García, J Roel-Touris, AMJJ Bonvin Structure 28 (1), 119-129. e2, 2020 | 72 | 2020 |
| proABC-2: PRediction Of AntiBody Contacts v2 and its application to information-driven docking F Ambrosetti, TH Olsen, PP Olimpieri, B Jiménez-García, E Milanetti, ... Bioinformatics 36 (20), 5107-5108, 2020 | 42 | 2020 |
| Information-Driven Antibody–Antigen Modelling with HADDOCK F Ambrosetti, Z Jandova, AMJJ Bonvin Computer-Aided Antibody Design, 267-282, 2022 | 12 | 2022 |
| An overview of data‐driven HADDOCK strategies in CAPRI rounds 38‐45 PI Koukos, J Roel‐Touris, F Ambrosetti, C Geng, J Schaarschmidt, ... Proteins: Structure, Function, and Bioinformatics 88 (8), 1029-1036, 2020 | 12 | 2020 |
| A protocol for information-driven antibody-antigen modelling with the HADDOCK2. 4 webserver F Ambrosetti, Z Jandova, AMJJ Bonvin arXiv preprint arXiv:2005.03283, 2020 | 7 | 2020 |
| Deep-learning enhancement of large scale numerical simulations C van Leeuwen, D Podareanu, V Codreanu, MX Cai, A Berg, SP Zwart, ... arXiv preprint arXiv:2004.03454, 2020 | | 2020 |
