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Marco Necci

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Database : the Journal of Biological Databases and Curation|December 22, 2018
Where differences resemble: sequence-feature analysis in curated databases of intrinsically disordered proteinsMarco Necci, Damiano Piovesan, Silvio C E Tosatto
Protein Science : a Publication of the Protein Society|September 17, 2016
Large-scale analysis of intrinsic disorder flavors and associated functions in the protein sequence universeMarco Necci, Damiano Piovesan, Silvio C E Tosatto
Nature Methods|April 20, 2021
Critical assessment of protein intrinsic disorder predictionMarco Necci, Damiano Piovesan, , et al.
Bioinformatics (Oxford, England)|April 29, 2017
MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteinsMarco Necci, Damiano Piovesan, Zsuzsanna Dosztányi, et al.
Bioinformatics (Oxford, England)|October 3, 2017
A comprehensive assessment of long intrinsic protein disorder from the DisProt databaseMarco Necci, Damiano Piovesan, Zsuzsanna Dosztányi, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 23, 2020
Exploring Protein Intrinsic Disorder with MobiDBAlexander Miguel Monzon, András Hatos, Marco Necci, et al.
Bioinformatics (Oxford, England)|December 16, 2020
MobiDB-lite 3.0: fast consensus annotation of intrinsic disorder flavors in proteinsMarco Necci, Damiano Piovesan, Damiano Clementel, et al.
Database : the Journal of Biological Databases and Curation|December 22, 2018
PhytoTypeDB: a database of plant protein inter-cultivar variability and functionMarco Necci, Damiano Piovesan, Diego Micheletti, et al.
Journal of Molecular Biology|March 1, 2021
FLIPPER: Predicting and Characterizing Linear Interacting Peptides in the Protein Data BankAlexander Miguel Monzon, Paolo Bonato, Marco Necci, et al.
International Journal of Molecular Sciences|July 1, 2020
Experimentally Determined Long Intrinsically Disordered Protein Regions Are Now Abundant in the Protein Data BankAlexander Miguel Monzon, Marco Necci, Federica Quaglia, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Database : the Journal of Biological Databases and Curation|December 22, 2018
Where differences resemble: sequence-feature analysis in curated databases of intrinsically disordered proteinsMarco Necci, Damiano Piovesan, Silvio C E Tosatto
Protein Science : a Publication of the Protein Society|September 17, 2016
Large-scale analysis of intrinsic disorder flavors and associated functions in the protein sequence universeMarco Necci, Damiano Piovesan, Silvio C E Tosatto
Nature Methods|April 20, 2021
Critical assessment of protein intrinsic disorder predictionMarco Necci, Damiano Piovesan, , et al.
Bioinformatics (Oxford, England)|April 29, 2017
MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteinsMarco Necci, Damiano Piovesan, Zsuzsanna Dosztányi, et al.
Bioinformatics (Oxford, England)|October 3, 2017
A comprehensive assessment of long intrinsic protein disorder from the DisProt databaseMarco Necci, Damiano Piovesan, Zsuzsanna Dosztányi, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 23, 2020
Exploring Protein Intrinsic Disorder with MobiDBAlexander Miguel Monzon, András Hatos, Marco Necci, et al.
Bioinformatics (Oxford, England)|December 16, 2020
MobiDB-lite 3.0: fast consensus annotation of intrinsic disorder flavors in proteinsMarco Necci, Damiano Piovesan, Damiano Clementel, et al.
Database : the Journal of Biological Databases and Curation|December 22, 2018
PhytoTypeDB: a database of plant protein inter-cultivar variability and functionMarco Necci, Damiano Piovesan, Diego Micheletti, et al.
Journal of Molecular Biology|March 1, 2021
FLIPPER: Predicting and Characterizing Linear Interacting Peptides in the Protein Data BankAlexander Miguel Monzon, Paolo Bonato, Marco Necci, et al.
International Journal of Molecular Sciences|July 1, 2020
Experimentally Determined Long Intrinsically Disordered Protein Regions Are Now Abundant in the Protein Data BankAlexander Miguel Monzon, Marco Necci, Federica Quaglia, et al.
Pageof 3