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Marco Necci
Marco Necci
Email verificata su unipd.it
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Citata da
Anno
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
15832021
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
15252017
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
14522019
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
3252017
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
2372020
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
2162018
Critical assessment of protein intrinsic disorder prediction
M Necci, D Piovesan, SCE Tosatto
Nature methods 18 (5), 472-481, 2021
2032021
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
1932021
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
1802017
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
652018
MobiDB-lite 3.0: fast consensus annotation of intrinsic disorder flavors in proteins
M Necci, D Piovesan, D Clementel, Z Dosztányi, SCE Tosatto
Bioinformatics 36 (22-23), 5533-5534, 2020
572020
Large‐scale analysis of intrinsic disorder flavors and associated functions in the protein sequence universe
M Necci, D Piovesan, SCE Tosatto
Protein Science 25 (12), 2164-2174, 2016
522016
RepeatsDB in 2021: improved data and extended classification for protein tandem repeat structures
L Paladin, M Bevilacqua, S Errigo, D Piovesan, I Mičetić, M Necci, ...
Nucleic Acids Research 49 (D1), D452-D457, 2021
352021
PlaToLoCo: the first web meta-server for visualization and annotation of low complexity regions in proteins
P Jarnot, J Ziemska-Legiecka, L Dobson, M Merski, P Mier, ...
Nucleic acids research 48 (W1), W77-W84, 2020
342020
Experimentally determined long intrinsically disordered protein regions are now abundant in the Protein Data Bank
AM Monzon, M Necci, F Quaglia, I Walsh, G Zanotti, D Piovesan, ...
International journal of molecular sciences 21 (12), 4496, 2020
232020
An intrinsically disordered proteins community for ELIXIR
NE Davey, MM Babu, M Blackledge, A Bridge, S Capella-Gutierrez, ...
F1000Research 8, 2019
142019
FLIPPER: predicting and characterizing linear interacting peptides in the protein data bank
AM Monzon, P Bonato, M Necci, SCE Tosatto, D Piovesan
Journal of Molecular Biology 433 (9), 166900, 2021
122021
Global network of computational biology communities: ISCB's Regional Student Groups breaking barriers
S Shome, RG Parra, N Fatima, AM Monzon, B Cuypers, Y Moosa, ...
F1000Research 8, 2019
112019
A novel approach to investigate the evolution of structured tandem repeat protein families by exon duplication
L Paladin, M Necci, D Piovesan, P Mier, MA Andrade-Navarro, ...
Journal of Structural Biology 212 (2), 107608, 2020
102020
Where differences resemble: sequence-feature analysis in curated databases of intrinsically disordered proteins
M Necci, D Piovesan, SCE Tosatto
Database 2018, bay127, 2018
102018
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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