| The Pfam protein families database in 2019 S El-Gebali, J Mistry, A Bateman, SR Eddy, A Luciani, SC Potter, ... Nucleic acids research 47 (D1), D427-D432, 2019 | 4417 | 2019 |
| InterPro in 2017—beyond protein family and domain annotations RD Finn, TK Attwood, PC Babbitt, A Bateman, P Bork, AJ Bridge, ... Nucleic acids research 45 (D1), D190-D199, 2017 | 1561 | 2017 |
| A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227, 2013 | 1081 | 2013 |
| An expanded evaluation of protein function prediction methods shows an improvement in accuracy Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ... Genome biology 17, 1-19, 2016 | 420 | 2016 |
| The RING 2.0 web server for high quality residue interaction networks D Piovesan, G Minervini, SCE Tosatto Nucleic acids research 44 (W1), W367-W374, 2016 | 417 | 2016 |
| The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20, 1-23, 2019 | 381 | 2019 |
| DisProt 7.0: a major update of the database of disordered proteins D Piovesan, F Tabaro, I Mičetić, M Necci, F Quaglia, CJ Oldfield, ... Nucleic acids research 45 (D1), D219-D227, 2017 | 331 | 2017 |
| DisProt: intrinsic protein disorder annotation in 2020 A Hatos, B Hajdu-Soltész, AM Monzon, N Palopoli, L Álvarez, ... Nucleic acids research 48 (D1), D269-D276, 2020 | 245 | 2020 |
| Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021 | 230 | 2021 |
| MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins D Piovesan, F Tabaro, L Paladin, M Necci, I Mičetić, C Camilloni, N Davey, ... Nucleic acids research 46 (D1), D471-D476, 2018 | 219 | 2018 |
| MobiDB: intrinsically disordered proteins in 2021 D Piovesan, M Necci, N Escobedo, AM Monzon, A Hatos, I Mičetić, ... Nucleic acids research 49 (D1), D361-D367, 2021 | 206 | 2021 |
| MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteins M Necci, D Piovesan, Z Dosztányi, SCE Tosatto Bioinformatics 33 (9), 1402-1404, 2017 | 185 | 2017 |
| DOME: recommendations for supervised machine learning validation in biology I Walsh, D Fishman, D Garcia-Gasulla, T Titma, G Pollastri, J Harrow, ... Nature methods 18 (10), 1122-1127, 2021 | 165 | 2021 |
| DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation F Quaglia, B Mészáros, E Salladini, A Hatos, R Pancsa, LB Chemes, ... Nucleic acids research 50 (D1), D480-D487, 2022 | 135 | 2022 |
| Simultaneous quantification of protein order and disorder P Sormanni, D Piovesan, GT Heller, M Bonomi, P Kukic, C Camilloni, ... Nature chemical biology 13 (4), 339-342, 2017 | 120 | 2017 |
| PED in 2021: a major update of the protein ensemble database for intrinsically disordered proteins T Lazar, E Martínez-Pérez, F Quaglia, A Hatos, LB Chemes, JA Iserte, ... Nucleic acids research 49 (D1), D404-D411, 2021 | 115 | 2021 |
| INGA: protein function prediction combining interaction networks, domain assignments and sequence similarity D Piovesan, M Giollo, E Leonardi, C Ferrari, SCE Tosatto Nucleic acids research 43 (W1), W134-W140, 2015 | 94 | 2015 |
| RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles D Clementel, A Del Conte, AM Monzon, GF Camagni, G Minervini, ... Nucleic acids research 50 (W1), W651-W656, 2022 | 86 | 2022 |
| MobiDB: 10 years of intrinsically disordered proteins D Piovesan, A Del Conte, D Clementel, AM Monzon, M Bevilacqua, ... Nucleic acids research 51 (D1), D438-D444, 2023 | 79 | 2023 |
| FELLS: fast estimator of latent local structure D Piovesan, I Walsh, G Minervini, SCE Tosatto Bioinformatics 33 (12), 1889-1891, 2017 | 72 | 2017 |
Silvio TosattoFull Professor of Bioinformatics, Department of Biomedical Sciences, University of Padua在 unipd.it 的电子邮件经过验证
