Kandathil, Shaun M.
University College London
8 papers on CoChatORCID 0000-0002-2671-2140
Most cited papers
- Verified
A guide to machine learning for biologists
Greener, J. G., Kandathil, S. M., Moffat, L., & Jones, D. T. (2022) · Nature Reviews Molecular Cell Biology
Machine Learning in BioinformaticsGene expression and cancer classification
Cited by 2,127
- Verified
Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints
Greener, J. G., Kandathil, S. M., & Jones, D. T. (2019) · Nature Communications
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 178
- Verified
Exploring structural diversity across the protein universe with The Encyclopedia of Domains
Lau, A. M., Bordin, N., Kandathil, S. M., Sillitoe, I., Waman, V. P., Wells, J., Orengo, C. A., & Jones, D. T. (2024) · Science
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 140
- Verified
Exploring structural diversity across the protein universe with The Encyclopedia of Domains
Lau, A. M., Bordin, N., Kandathil, S. M., Sillitoe, I., Waman, V. P., Wells, J., Orengo, C. A., & Jones, D. T. (2024) · Science
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 140
- Verified
Merizo: a rapid and accurate protein domain segmentation method using invariant point attention
Lau, A. M., Kandathil, S. M., & Jones, D. T. (2023) · Nature Communications
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 48
- Verified
Merizo: a rapid and accurate domain segmentation method using invariant point attention
Lau, A. M., Kandathil, S. M., & Jones, D. T. (2023) · Nature Communications
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 47
- Verified
Design in the DARK: Learning Deep Generative Models for De Novo Protein Design
Moffat, L., Kandathil, S. M., & Jones, D. T. (2022) · bioRxiv (Cold Spring Harbor Laboratory)
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 25
- Verified
Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterised proteins
Kandathil, S. M., Greener, J. G., Lau, A. M., & Jones, D. T. (2020) · bioRxiv (Cold Spring Harbor Laboratory)
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 8
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