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Damiano Piovesan
Damiano Piovesan
Associate Professor, University of Padova
Verified email at unipd.it - Homepage
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Cited by
Cited by
Year
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
43332019
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
15482017
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
10492013
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
4142016
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
4102016
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
3592019
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
3322017
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
2432020
Critical assessment of protein intrinsic disorder prediction
M Necci, D Piovesan, SCE Tosatto
Nature methods 18 (5), 472-481, 2021
2202021
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
2192018
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
2002021
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
1862017
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
1462021
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
1302022
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
1202017
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
1112021
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
932015
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
792022
A comprehensive assessment of long intrinsic protein disorder from the DisProt database
M Necci, D Piovesan, Z Dosztanyi, P Tompa, SCE Tosatto
Bioinformatics 34 (3), 445-452, 2018
682018
FELLS: fast estimator of latent local structure
D Piovesan, I Walsh, G Minervini, SCE Tosatto
Bioinformatics 33 (12), 1889-1891, 2017
682017
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Articles 1–20