World's Best Scientists 2026 revealed!

D-Index & Metrics

Molecular Biology

D-Index
47
Citations
18344
World Ranking
2707
National Ranking
211

Overview

Ian Sillitoe is affiliated with University College London in the United Kingdom. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a focus on Molecular Biology, Materials Chemistry, Infectious Diseases, Spectroscopy, and Animal Science and Zoology.

The scientist's work covers several main topics, including Machine Learning in Bioinformatics, Protein Structure and Dynamics, Bioinformatics and Genomic Networks, Genomics and Phylogenetic Studies, RNA and protein synthesis mechanisms, Enzyme Structure and Function, and SARS-CoV-2 and COVID-19 Research.

Ian Sillitoe has contributed to a number of publications. Notable recent papers include:

  • InterPro in 2022, published in Nucleic Acids Research, 2022
  • The InterPro protein families and domains database: 20 years on, published in Nucleic Acids Research, 2020
  • CATH: increased structural coverage of functional space, published in Nucleic Acids Research, 2020
  • SARS-CoV-2 spike protein predicted to form complexes with host receptor protein orthologues from a broad range of mammals, published in Scientific Reports, 2020
  • Contrastive learning on protein embeddings enlightens midnight zone, published in NAR Genomics and Bioinformatics, 2022

The scientist frequently publishes in venues such as Zenodo (CERN European Organization for Nuclear Research), bioRxiv (Cold Spring Harbor Laboratory), Nucleic Acids Research, Bioinformatics, and Scientific Reports.

Frequent co-authors in their research work include:

  • Nicola Bordin
  • Christine Orengo
  • Vaishali Waman
  • Neeladri Sen

Best Publications

  • 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

  • The InterPro protein families database: the classification resource after 15 years

    Alex L. Mitchell;Hsin-Yu Chang;Louise C. Daugherty;Matthew Fraser

  • CATH: comprehensive structural and functional annotations for genome sequences

    Ian Sillitoe;Tony E. Lewis;Alison L. Cuff;Sayoni Das

  • 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

  • CATH: increased structural coverage of functional space.

    Ian Sillitoe;Nicola Bordin;Natalie Dawson;Vaishali P Waman

  • CATH: an expanded resource to predict protein function through structure and sequence.

    Natalie L. Dawson;Tony E. Lewis;Sayoni Das;Jonathan G. Lees

  • The CATH domain structure database: new protocols and classification levels give a more comprehensive resource for exploring evolution.

    Lesley H. Greene;Tony E. Lewis;Sarah Addou;Alison L. Cuff

  • The CATH database: an extended protein family resource for structural and functional genomics

    Frances M. G. Pearl;C. F. Bennett;James E. Bray;Andrew P. Harrison

  • The CATH Domain Structure Database and related resources Gene3D and DHS provide comprehensive domain family information for genome analysis

    Frances M. G. Pearl;Annabel E. Todd;Ian Sillitoe;Mark Dibley

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

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

  • New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures

    Ian Sillitoe;Alison L. Cuff;Benoit H. Dessailly;Natalie L. Dawson

  • Assigning genomic sequences to CATH.

    Frances M. G. Pearl;David A. Lee;James E. Bray;Ian Sillitoe

  • The CATH classification revisited--architectures reviewed and new ways to characterize structural divergence in superfamilies.

    Alison L. Cuff;Ian Sillitoe;Tony E. Lewis;Oliver Redfern

  • Analysis and assessment of ab initio three‐dimensional prediction, secondary structure, and contacts prediction

    C A Orengo;J E Bray;Tim Hubbard;L LoConte

  • MSAViewer: interactive JavaScript visualization of multiple sequence alignments

    Guy Yachdav;Sebastian Wilzbach;Benedikt Rauscher;Robert Sheridan

  • Gene3D: Extensive prediction of globular domains in proteins.

    Tony E. Lewis;Ian Sillitoe;Natalie L. Dawson;Su Datt Lam;Su Datt Lam

  • 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

Christine A. Orengo
Christine A. Orengo University College London
Janet M. Thornton
Janet M. Thornton European Bioinformatics Institute
David A. Lee
David A. Lee Queen Mary University of London
Julian Gough
Julian Gough University of Bristol
David T. Jones
David T. Jones University College London
Christophe Dessimoz
Christophe Dessimoz University College London
Burkhard Rost
Burkhard Rost Technical University of Munich
Michael J.E. Sternberg
Michael J.E. Sternberg Imperial College London
Silvio C. E. Tosatto
Silvio C. E. Tosatto University of Padua
Patricia C. Babbitt
Patricia C. Babbitt University of California, San Francisco

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Molecular Biology, exploring non profit online colleges can be an excellent way to find reputable and flexible degree programs. These institutions offer high-quality education while helping to manage tuition costs, which is a critical consideration for many prospective students.

If you are active military personnel or a veteran, selecting one of the online military friendly colleges ensures you receive necessary support and resources while pursuing your studies remotely. These colleges often provide flexible schedules, tuition assistance, and dedicated advisors to help balance your career, service, and academic goals.

Molecular Biology careers often intersect with other science-related roles in healthcare and research. Programs such as a masters in social work online or accelerated psychology masters programs also offer excellent online learning options for those considering interdisciplinary paths or expanding their expertise in related fields.

Best Scientists Citing Ian Sillitoe

Trending Scientists

Recently Published Articles