Damiano Piovesan

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Assistant professor

University of Padua

Italy

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About

Damiano Piovesan is an Assistant Professor at the University of Padua, Italy. His research focuses on protein intrinsic disorder, structural biology, and computational methods for protein analysis, as reflected in his recent publications. Notable areas of his work include the development of tools for predicting protein disorder, calculating geometrical descriptors of tandem repeat proteins, and improving classification methods for intrinsically disordered proteins.

Recent Grants

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Oxygen, HIF and friends: from oxygen sensing pathways to cancer development

Open Date: 2015-02-01

Close Date: 2018-01-01

Articles (19)

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Collaborators (6)

Iddo Friedberg

Associate Professor

Iowa State University

UNITED STATES

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Pathmanaban Ramasamy

Ghent University

BELGIUM

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Silvio Tosatto

Prof.

University of Padova

ITALY

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Giulio Tesei

Associate Senior Lecturer

Malmö University

SWEDEN

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Giovanni Minervini

Assistant Professor

University of Padova

ITALY

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Alexander Monzon

Assistant Professor Tenure-Track (RTT researcher)

University of Padua

ITALY

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Damiano Piovesan

Research Interests

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About

Recent Grants

Articles (19)

Critical Assessment of Protein Intrinsic Disorder Round 3 ‐ Predicting Disorder in the Era of Protein Language Models

GeomeTRe: accurate calculation of geometrical descriptors of tandem repeat proteins

MobiDB-lite 4.0: faster prediction of intrinsic protein disorder and structural compactness

MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins

CAFA-evaluator: a Python tool for benchmarking ontological classification methods

RING 4.0: faster residue interaction networks with novel interaction types across over 35,000 different chemical structures

Best practices for the manual curation of intrinsically disordered proteins in DisProt

DRMAAtic: dramatically improve your cluster potential

STRPsearch: fast detection of structured tandem repeat proteins

Critical assessment of protein intrinsic disorder prediction (CAID) ‐ Results of round 2

RING-PyMOL: residue interaction networks of structural ensembles and molecular dynamics

MobiDB: 10 years of intrinsically disordered proteins

RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles

ProSeqViewer: an interactive, responsive and efficient TypeScript library for visualization of sequences and alignments in web applications

FuzDB: a new phase in understanding fuzzy interactions

APICURON: a database to credit and acknowledge the work of biocurators

FLIPPER: predicting and characterizing linear interacting peptides in the Protein Data Bank

RepeatsDB in 2021: improved data and extended classification for protein tandem repeat structures

MobiDB: intrinsically disordered proteins in 2021.

Collaborators (6)

Iddo Friedberg

Pathmanaban Ramasamy

Silvio Tosatto

Giulio Tesei

Giovanni Minervini

Alexander Monzon

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