Shaun M Kandathil

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Venues

Nature communications

Nucleic acids research

Proteins

Proceedings of the National Academy of Sciences of the United States of America

University College London

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University College London Apr 20 2017

United Kingdom

Research Associate :: Department of Computer Science

Publications

Daniel W A Buchan, Lewis Moffat, Andy Lau, Shaun M Kandathil, David T Jones
Deep learning for the PSIPRED Protein Analysis Workbench. Nucleic acids research 52 (W1) (2024)
Daniel W A Buchan, Lewis Moffat, Andy Lau, Shaun M Kandathil, David T Jones
Deep learning for the PSIPRED Protein Analysis Workbench. Nucleic acids research 52 (W1) (2024)
Daniel W A Buchan, Lewis Moffat, Andy Lau, Shaun M Kandathil, David T Jones
Deep learning for the PSIPRED Protein Analysis Workbench. Nucleic acids research (2024)
Andy M Lau, Shaun M Kandathil, David T Jones
Merizo: a rapid and accurate protein domain segmentation method using invariant point attention. Nature communications 14 (1) (2023)
Andy M Lau, Shaun M Kandathil, David T Jones
Merizo: a rapid and accurate protein domain segmentation method using invariant point attention. Nature communications 14 (1) (2023)
Andy M Lau, Shaun M Kandathil, David T Jones
Merizo: a rapid and accurate protein domain segmentation method using invariant point attention. Nature communications 14 (1) (2023)
Shaun M Kandathil, Joe G Greener, Andy M C Lau, David T Jones
Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteins. Proceedings of the National Academy of Sciences of the United States of America 119 (4) (2022)
Joe G Greener, Shaun M Kandathil, Lewis Moffat, David T Jones
A guide to machine learning for biologists. Nature reviews. Molecular cell biology (2021)
Shaun M Kandathil, Joe G Greener, David T Jones
Recent developments in deep learning applied to protein structure prediction. Proteins 87 (12) (2019)
Shaun M Kandathil, Joe G Greener, David T Jones
Prediction of interresidue contacts with DeepMetaPSICOV in CASP13. Proteins 87 (12) (2019)
Shaun M Kandathil, Mario Garza-Fabre, Julia Handl, Simon C Lovell
Improved fragment-based protein structure prediction by redesign of search heuristics. Scientific reports 8 (1) (2018)

Shaun M Kandathil.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Shaun M Kandathil