Francesco Ambrosetti - Publications

Affiliations: 
2017-2020 Utrecht University, Utrecht, Netherlands 

6 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Ambrosetti F, Jandova Z, Bonvin AMJJ. Information-Driven Antibody-Antigen Modelling with HADDOCK. Methods in Molecular Biology (Clifton, N.J.). 2552: 267-282. PMID 36346597 DOI: 10.1007/978-1-0716-2609-2_14  0.713
2021 Renaud N, Geng C, Georgievska S, Ambrosetti F, Ridder L, Marzella DF, Réau MF, Bonvin AMJJ, Xue LC. DeepRank: a deep learning framework for data mining 3D protein-protein interfaces. Nature Communications. 12: 7068. PMID 34862392 DOI: 10.1038/s41467-021-27396-0  0.708
2021 Lensink MF, Brysbaert G, Mauri T, Nadzirin N, Velankar S, Chaleil RAG, Clarence T, Bates PA, Kong R, Liu B, Yang G, Liu M, Shi H, Lu X, Chang S, ... ... Ambrosetti F, et al. Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment. Proteins. PMID 34453465 DOI: 10.1002/prot.26222  0.708
2019 Koukos PI, Roel-Touris J, Ambrosetti F, Geng C, Schaarschmidt J, Trellet ME, Melquiond ASJ, Xue LC, Honorato RV, Moreira I, Kurkcuoglu Z, Vangone A, Bonvin AMJJ. An overview of data-driven HADDOCK strategies in CAPRI rounds 38-45. Proteins. PMID 31886559 DOI: 10.1002/Prot.25869  0.549
2019 Ambrosetti F, Jiménez-García B, Roel-Touris J, Bonvin AMJJ. Modeling Antibody-Antigen Complexes by Information-Driven Docking. Structure (London, England : 1993). PMID 31727476 DOI: 10.1016/j.str.2019.10.011  0.347
2019 Lensink MF, Brysbaert G, Nadzirin N, Velankar S, Chaleil RAG, Gerguri T, Bates PA, Laine E, Carbone A, Grudinin S, Kong R, Liu RR, Xu XM, Shi H, Chang S, ... ... Ambrosetti F, et al. Blind prediction of homo- and hetero- protein complexes: The CASP13-CAPRI experiment. Proteins. PMID 31612567 DOI: 10.1002/Prot.25838  0.669
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