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 | 4336 | 2019 |
Pfam: The protein families database in 2021 J Mistry, S Chuguransky, L Williams, M Qureshi, GA Salazar, ... Nucleic acids research 49 (D1), D412-D419, 2021 | 3686 | 2021 |
The InterPro protein families and domains database: 20 years on M Blum, HY Chang, S Chuguransky, T Grego, S Kandasaamy, A Mitchell, ... Nucleic acids research 49 (D1), D344-D354, 2021 | 1683 | 2021 |
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 | 1552 | 2017 |
InterPro in 2019: improving coverage, classification and access to protein sequence annotations AL Mitchell, TK Attwood, PC Babbitt, M Blum, P Bork, A Bridge, SD Brown, ... Nucleic acids research 47 (D1), D351-D360, 2019 | 1488 | 2019 |
QMEAN: A comprehensive scoring function for model quality assessment P Benkert, SCE Tosatto, D Schomburg Proteins: Structure, Function, and Bioinformatics 71 (1), 261-277, 2008 | 1207 | 2008 |
InterPro in 2022 T Paysan-Lafosse, M Blum, S Chuguransky, T Grego, BL Pinto, ... Nucleic acids research 51 (D1), D418-D427, 2023 | 935 | 2023 |
ESpritz: accurate and fast prediction of protein disorder I Walsh, AJM Martin, T Di Domenico, SCE Tosatto Bioinformatics 28 (4), 503-509, 2012 | 518 | 2012 |
PASTA 2.0: an improved server for protein aggregation prediction I Walsh, F Seno, SCE Tosatto, A Trovato Nucleic acids research 42 (W1), W301-W307, 2014 | 421 | 2014 |
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 | 414 | 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 | 410 | 2016 |
The gene ontology knowledgebase in 2023 SA Aleksander, J Balhoff, S Carbon, JM Cherry, HJ Drabkin, D Ebert, ... Genetics 224 (1), iyad031, 2023 | 376 | 2023 |
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 | 359 | 2019 |
Evolutionary and structural insights into the multifaceted glutathione peroxidase (Gpx) superfamily S Toppo, S Vanin, V Bosello, SCE Tosatto Antioxidants & redox signaling 10 (9), 1501-1514, 2008 | 334 | 2008 |
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 | 332 | 2017 |
The PASTA server for protein aggregation prediction A Trovato, F Seno, SCE Tosatto Protein Engineering, Design & Selection 20 (10), 521-523, 2007 | 277 | 2007 |
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 | 243 | 2020 |
Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021 | 221 | 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 |
The catalytic site of glutathione peroxidases SCE Tosatto, V Bosello, F Fogolari, P Mauri, A Roveri, S Toppo, L Flohé, ... Antioxidants & redox signaling 10 (9), 1515-1526, 2008 | 217 | 2008 |