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Bioinformatics (Oxford, England)
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October 3, 2017
Mobi 2.0: an improved method to define intrinsic disorder, mobility and linear binding regions in protein structures
Damiano Piovesan, Silvio C E Tosatto
Nucleic Acids Research
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May 11, 2019
INGA 2.0: improving protein function prediction for the dark proteome
Damiano Piovesan, Silvio C E Tosatto
Biomolecules
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January 21, 2022
Molecular Determinants of Selectivity in Disordered Complexes May Shed Light on Specificity in Protein Condensates
Alexander Miguel Monzon, Damiano Piovesan, Monika Fuxreiter
Nucleic Acids Research
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May 21, 2016
The RING 2.0 web server for high quality residue interaction networks
Damiano Piovesan, Giovanni Minervini, Silvio C E Tosatto
Database : the Journal of Biological Databases and Curation
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December 22, 2018
Where differences resemble: sequence-feature analysis in curated databases of intrinsically disordered proteins
Marco Necci, Damiano Piovesan, Silvio C E Tosatto
Frontiers in Molecular Biosciences
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July 7, 2022
Editorial: Fuzzy Interactions: Many Facets of Protein Binding
Damiano Piovesan, Miguel Arbesú, Monika Fuxreiter, et al.
Protein Science : a Publication of the Protein Society
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September 17, 2016
Large-scale analysis of intrinsic disorder flavors and associated functions in the protein sequence universe
Marco Necci, Damiano Piovesan, Silvio C E Tosatto
Protein Science : a Publication of the Protein Society
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December 27, 2025
Modeling intrinsically disordered regions from AlphaFold2 to AlphaFold3
Mahta Mehdiabadi, Silvio C E Tosatto, Damiano Piovesan
Nucleic Acids Research
|
May 16, 2017
SODA: prediction of protein solubility from disorder and aggregation propensity
Lisanna Paladin, Damiano Piovesan, Silvio C E Tosatto
Nature Methods
|
April 20, 2021
Critical assessment of protein intrinsic disorder prediction
Marco Necci, Damiano Piovesan, , et al.
Page
of 10
Search research articles
Search
Showing results (1-10 of 91) with videos related to
Sort By:
Page
of 10
Bioinformatics (Oxford, England)
|
October 3, 2017
Mobi 2.0: an improved method to define intrinsic disorder, mobility and linear binding regions in protein structures
Damiano Piovesan, Silvio C E Tosatto
Nucleic Acids Research
|
May 11, 2019
INGA 2.0: improving protein function prediction for the dark proteome
Damiano Piovesan, Silvio C E Tosatto
Biomolecules
|
January 21, 2022
Molecular Determinants of Selectivity in Disordered Complexes May Shed Light on Specificity in Protein Condensates
Alexander Miguel Monzon, Damiano Piovesan, Monika Fuxreiter
Nucleic Acids Research
|
May 21, 2016
The RING 2.0 web server for high quality residue interaction networks
Damiano Piovesan, Giovanni Minervini, Silvio C E Tosatto
Database : the Journal of Biological Databases and Curation
|
December 22, 2018
Where differences resemble: sequence-feature analysis in curated databases of intrinsically disordered proteins
Marco Necci, Damiano Piovesan, Silvio C E Tosatto
Frontiers in Molecular Biosciences
|
July 7, 2022
Editorial: Fuzzy Interactions: Many Facets of Protein Binding
Damiano Piovesan, Miguel Arbesú, Monika Fuxreiter, et al.
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 universe
Marco Necci, Damiano Piovesan, Silvio C E Tosatto
Protein Science : a Publication of the Protein Society
|
December 27, 2025
Modeling intrinsically disordered regions from AlphaFold2 to AlphaFold3
Mahta Mehdiabadi, Silvio C E Tosatto, Damiano Piovesan
Nucleic Acids Research
|
May 16, 2017
SODA: prediction of protein solubility from disorder and aggregation propensity
Lisanna Paladin, Damiano Piovesan, Silvio C E Tosatto
Nature Methods
|
April 20, 2021
Critical assessment of protein intrinsic disorder prediction
Marco Necci, Damiano Piovesan, , et al.
Page
of 10