World's Best Scientists 2026 revealed!
Award Badge
Genetics
UK
2024

D-Index & Metrics

Genetics

D-Index
116
Citations
111484
World Ranking
431
National Ranking
68

Research.com Recognitions

  • 2024 - Research.com Genetics in United Kingdom Leader Award
  • 2023 - Research.com Genetics in United Kingdom Leader Award

Overview

David T. Jones is affiliated with University College London in the United Kingdom. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, with significant contributions also in subfields such as Molecular Biology, Materials Chemistry, Ecology, Evolution, Behavior and Systematics, Soil Science, and Artificial Intelligence.

The scientist's published work frequently addresses topics including Protein Structure and Dynamics, Machine Learning in Bioinformatics, RNA and protein synthesis mechanisms, Genomics and Phylogenetic Studies, Enzyme Structure and Function, Bioinformatics and Genomic Networks, and Soil Carbon and Nitrogen Dynamics.

Recent representative publications include:

  • Improved protein structure prediction using potentials from deep learning, 2020, Nature
  • A guide to machine learning for biologists, 2021, Nature Reviews Molecular Cell Biology
  • Critical assessment of protein intrinsic disorder prediction, 2021, Nature Methods
  • The impact of AlphaFold2 one year on, 2022, Nature Methods
  • Protein function prediction is improved by creating synthetic feature samples with generative adversarial networks, 2020, Nature Machine Intelligence

David T. Jones has collaborated extensively with several coauthors, including Shaun M. Kandathil, Andy M. Lau, Joe G. Greener, Lewis Moffat, and Nicola Bordin. These collaborations have often contributed to research advancements in computational biology and protein structure prediction.

The scientist's research outputs have appeared in numerous publication venues, with frequent contributions to bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Nature Methods, Bioinformatics, and PLoS ONE.

Best Publications

  • Signatures of mutational processes in human cancer

    Ludmil B. Alexandrov;Serena Nik-Zainal;Serena Nik-Zainal;David C. Wedge;Samuel A. J. R. Aparicio

  • Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

    Marco Gerlinger;Andrew J. Rowan;Stuart Horswell;James Larkin

  • The rapid generation of mutation data matrices from protein sequences

    David T. Jones;William R. Taylor;Janet M. Thornton

  • PROTEIN SECONDARY STRUCTURE PREDICTION BASED ON POSITION-SPECIFIC SCORING MATRICES

    David T Jones

  • The PSIPRED protein structure prediction server.

    Liam J. McGuffin;Kevin Bryson;David T. Jones

  • Patterns of somatic mutation in human cancer genomes

    Christopher Greenman;Philip Stephens;Raffaella Smith;Gillian L. Dalgliesh

  • CATH – a hierarchic classification of protein domain structures

    CA Orengo;AD Michie;S Jones;DT Jones

  • Improved protein structure prediction using potentials from deep learning

    Andrew W. Senior;Richard Evans;John Jumper;James Kirkpatrick

  • Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.

    J. J. Ward;J. S. Sodhi;Liam J. McGuffin;B. F. Buxton

  • Classification of intrinsically disordered regions and proteins.

    Robin van der Lee;Robin van der Lee;Marija Buljan;Benjamin Lang;Robert J. Weatheritt

  • Mutational Processes Molding the Genomes of 21 Breast Cancers

    Serena Nik-Zainal;Ludmil B. Alexandrov;David C. Wedge;Peter Van Loo;Peter Van Loo;Peter Van Loo

  • Exome sequencing identifies frequent mutation of the SWI/SNF Complex Gene PBRM1 in renal carcinoma

    Ignacio Varela;Patrick Tarpey;Keiran Raine;Dachuan Huang

  • A new approach to protein fold recognition.

    DT Jones;WR Taylor;JM Thornton

  • The Life History of 21 Breast Cancers

    Serena Nik-Zainal;Peter Van Loo;Peter Van Loo;Peter Van Loo;David C. Wedge;Ludmil B. Alexandrov

  • Scalable web services for the PSIPRED Protein Analysis Workbench

    Daniel W. A. Buchan;Federico Minneci;Tim C. O. Nugent;Kevin Bryson

  • Somatic SF3B1 Mutation in Myelodysplasia with Ring Sideroblasts

    E. Papaemmanuil;M. Cazzola;J. Boultwood;L. Malcovati

  • Systematic sequencing of renal carcinoma reveals inactivation of histone modifying genes

    Gillian L. Dalgliesh;Kyle Furge;Chris Greenman;Lina Chen

  • A small-cell lung cancer genome with complex signatures of tobacco exposure

    Erin D. Pleasance;Philip J. Stephens;Sarah O’Meara;Sarah O’Meara;David J. McBride

  • Spatial and temporal diversity in genomic instability processes defines lung cancer evolution

    Elza C. de Bruin;Nicholas McGranahan;Nicholas McGranahan;Richard Mitter;Max Salm

  • GenTHREADER: an efficient and reliable protein fold recognition method for genomic sequences.

    David T. Jones

Frequent Co-Authors

Peter J. Campbell
Peter J. Campbell Wellcome Sanger Institute
Michael R. Stratton
Michael R. Stratton Wellcome Sanger Institute
Keiran Raine
Keiran Raine Wellcome Sanger Institute
Jon W. Teague
Jon W. Teague Wellcome Sanger Institute
Andrew Menzies
Andrew Menzies Wellcome Sanger Institute
Peter Van Loo
Peter Van Loo The Francis Crick Institute
Adam Butler
Adam Butler Wellcome Sanger Institute
Janet M. Thornton
Janet M. Thornton European Bioinformatics Institute
Christine A. Orengo
Christine A. Orengo University College London
Patrick S. Tarpey
Patrick S. Tarpey Wellcome Sanger Institute

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

Exploring Genetics can open doors to a variety of online degrees and flexible career pathways. Students interested in healthcare administration may consider medical billing and coding schools online, which offer essential knowledge for managing patient data and healthcare records. These programs are often accessible and relevant for those looking to work in medical settings without direct patient care.

For those eager to fast-track their education, accelerated colleges can be an attractive option, allowing learners to complete degrees in a shorter timeframe. This can be particularly beneficial if you want to enter the workforce or advance your academic career quickly.

Many universities now offer self paced college courses. These programs allow students to tailor their learning schedules around personal and work commitments, making advanced education more accessible.

Lastly, students seeking affordability can find an online college with no application fee. Choosing schools that waive application fees helps reduce upfront costs, making it easier to explore your options in the field of Genetics and related careers.

Best Scientists Citing David T. Jones

Trending Scientists

Recently Published Articles