Damiano Piovesan

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Silvio TosattoFull Professor of Bioinformatics, Department of Biomedical Sciences, University of PaduaVerified email at unipd.it
Alexander Miguel MonzonAssistant Professor, Department of Biomedical Sciences, University of PadovaVerified email at unipd.it
Marco NecciPost Doc @ University of PaduaVerified email at unipd.it
Layla Hirsh MartinezProfesora Principal de Ingeniería Informática, Pontificia Universidad Católica del PerúVerified email at pucp.edu.pe
Giovanni MinerviniUniversity of PadovaVerified email at bio.unipd.it
Dosztanyi ZsuzsannaEötvös Loránd UniversityVerified email at ttk.elte.hu
Rita CasadioFull Professor of Biochemistry, University of BolognaVerified email at unibo.it
Pier Luigi MartelliUniversity of BolognaVerified email at biocomp.unibo.it
Peter TompaPofessor of biochemistry, VIB SBRC, BrusselsVerified email at vub.ac.be
Piero FariselliDept. of Medical Sciences, University of Torino, ItalyVerified email at unito.it
MONIKA FUXREITERprofessor, University of PadovaVerified email at unipd.it
Gustavo ParisiTitular Professor, Universidad Nacional de QuilmesVerified email at unq.edu.ar
Giuseppe ProfitiBiodec SrlVerified email at biodec.com
ian walshBioprocessing technology instituteVerified email at bti.a-star.edu.sg
Wim VrankenResearch professor, Vrije Universiteit Brussel, BelgiumVerified email at vub.be
Miguel AndradeJohannes-Gutenberg University in MainzVerified email at uni-mainz.de
Ferrari CarloAssociate Professor of Computer Science University of PadovaVerified email at unipd.it
Manuel GiolloAmazon AlexaVerified email at amazon.com
Norman E. DaveyInstitute Of Cancer Research, LondonVerified email at icr.ac.uk
Pietro SormanniRoyal Society University Research Fellow, Department of Chemistry, University of Cambridge.Verified email at cam.ac.uk

Damiano Piovesan

Associate Professor, University of Padova

Verified email at unipd.it - Homepage

Bioinformatics Biochemistry


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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	4615	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	1623	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	1151	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	452	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	449	2019
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	436	2016
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	337	2017
Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021	279	2021
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	261	2020
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	228	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	227	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	208	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	190	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	157	2022
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	133	2021
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	129	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	128	2023
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	127	2017
Intrinsic protein disorder and conditional folding in AlphaFoldDB D Piovesan, AM Monzon, SCE Tosatto Protein Science 31 (11), e4466, 2022	104	2022
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	96	2015

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