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Silvio C. E. Tosatto

Silvio C. E. Tosatto

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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
64
Citations
37688
World Ranking
2509
National Ranking
42

Biology and Biochemistry

D-Index
71
Citations
40682
World Ranking
6489
National Ranking
154

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Silvio C. E. Tosatto is affiliated with the University of Padua in Italy and specializes in the fields of Biochemistry, Genetics, and Molecular Biology. Within these broader areas, their work spans several subfields including Molecular Biology, Materials Chemistry, Genetics, Spectroscopy, and Cancer Research.

The scientist's research interests focus on diverse topics related to protein science and bioinformatics. The main topics covered include:

  • Protein Structure and Dynamics
  • Bioinformatics and Genomic Networks
  • Enzyme Structure and Function
  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies
  • RNA and Protein Synthesis Mechanisms
  • Cancer, Hypoxia, and Metabolism

Silvio C. E. Tosatto has contributed to numerous publications, with recent notable papers being:

  • "Pfam: The protein families database in 2021" (2020) published in Nucleic Acids Research
  • "InterPro in 2022" (2022) published in Nucleic Acids Research
  • "The Gene Ontology knowledgebase in 2023" (2023) published in Genetics
  • "The InterPro protein families and domains database: 20 years on" (2020) published in Nucleic Acids Research
  • "InterPro: the protein sequence classification resource in 2025" (2024) published in Nucleic Acids Research

Their work is frequently published in venues such as:

  • Nucleic Acids Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • arXiv (Cornell University)
  • Nature Methods

Silvio C. E. Tosatto has collaborated with multiple co-authors over their career. Frequent collaborators include:

  • Damiano Piovesan
  • Alexander Miguel Monzón
  • Giovanni Minervini
  • Federica Quaglia
  • András Hatos

Best Publications

  • Pfam: The protein families database in 2021.

    Jaina Mistry;Sara Chuguransky;Lowri Williams;Matloob Qureshi

  • The Pfam protein families database in 2019.

    Sara El-Gebali;Jaina Mistry;Alex Bateman;Sean R Eddy

  • InterPro in 2022

    Unknown

  • The Gene Ontology knowledgebase in 2023

    Unknown

  • The InterPro protein families and domains database: 20 years on.

    Matthias Blum;Hsin Yu Chang;Sara Chuguransky;Tiago Grego

  • InterPro in 2017-beyond protein family and domain annotations

    Robert D. Finn;Teresa K. Attwood;Patricia C. Babbitt;Alex Bateman

  • InterPro in 2019: improving coverage, classification and access to protein sequence annotations.

    Alex L. Mitchell;Teresa K. Attwood;Patricia C. Babbitt;Matthias Blum

  • QMEAN: A comprehensive scoring function for model quality assessment.

    Pascal Benkert;Silvio C. E. Tosatto;Dietmar Schomburg;Dietmar Schomburg

  • InterPro: the protein sequence classification resource in 2025.

    Unknown

  • ESpritz: accurate and fast prediction of protein disorder.

    Ian Walsh;Alberto J. M. Martin;Tomàs Di Domenico;Silvio C. E. Tosatto

  • PASTA 2.0: an improved server for protein aggregation prediction.

    Ian Walsh;Flavio Seno;Silvio C.E. Tosatto;Antonio Trovato

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

    Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee

  • The RING 2.0 web server for high quality residue interaction networks.

    Damiano Piovesan;Giovanni Minervini;Silvio C.E. Tosatto

  • Critical assessment of protein intrinsic disorder prediction

    Marco Necci;Damiano Piovesan;Caid Predictors;DisProt Curators

  • DisProt 7.0: a major update of the database of disordered proteins.

    Damiano Piovesan;Francesco Tabaro;Francesco Tabaro;Ivan Micetic;Marco Necci

  • Evolutionary and structural insights into the multifaceted glutathione peroxidase (Gpx) superfamily.

    Stefano Toppo;Stefano Vanin;Valentina Bosello;Silvio C.E. Tosatto

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur

  • The PASTA server for protein aggregation prediction.

    Antonio Trovato;Flavio Seno;Silvio C.E. Tosatto

  • DisProt: intrinsic protein disorder annotation in 2020.

    András Hatos;Borbála Hajdu-Soltész;Alexander M Monzon;Nicolas Palopoli

  • MobiDB: intrinsically disordered proteins in 2021.

    Damiano Piovesan;Marco Necci;Nahuel Escobedo;Alexander Miguel Monzon

  • MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins.

    Damiano Piovesan;Francesco Tabaro;Lisanna Paladin;Marco Necci;Marco Necci

  • MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins

    Emilio Potenza;Tomás Di Domenico;Ian Walsh;Silvio C.E. Tosatto

  • Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

Frequent Co-Authors

Peter Tompa
Peter Tompa Vrije Universiteit Brussel
Carlo Ferrari
Carlo Ferrari University of Parma
Wim F. Vranken
Wim F. Vranken Vrije Universiteit Brussel
Steven E. Brenner
Steven E. Brenner University of California, Berkeley
Rita Casadio
Rita Casadio University of Bologna
Norman E. Davey
Norman E. Davey Institute of Cancer Research
Andrey V. Kajava
Andrey V. Kajava University of Montpellier
Christophe Dessimoz
Christophe Dessimoz University College London
Julian Gough
Julian Gough University of Bristol
David T. Jones
David T. Jones University College London

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