| A review of the chemistry and pharmacology of the date fruits (Phoenix dactylifera L.) MS Baliga, BRV Baliga, SM Kandathil, HP Bhat, PK Vayalil Food research international 44 (7), 1812-1822, 2011 | 641 | 2011 |
| A guide to machine learning for biologists JG Greener, SM Kandathil, L Moffat, DT Jones Nature Reviews Molecular Cell Biology 23 (1), 40-55, 2022 | 368 | 2022 |
| High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features DT Jones, SM Kandathil Bioinformatics 34 (19), 3308-3315, 2018 | 182 | 2018 |
| Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints JG Greener, SM Kandathil, DT Jones Nature communications 10 (1), 3977, 2019 | 155 | 2019 |
| Prediction of interresidue contacts with DeepMetaPSICOV in CASP13 SM Kandathil, JG Greener, DT Jones Proteins: Structure, Function, and Bioinformatics 87 (12), 1092-1099, 2019 | 102 | 2019 |
| Recent developments in deep learning applied to protein structure prediction SM Kandathil, JG Greener, DT Jones Proteins: Structure, Function, and Bioinformatics 87 (12), 1179-1189, 2019 | 58 | 2019 |
| Accuracy and tractability of a kriging model of intramolecular polarizable multipolar electrostatics and its application to histidine SM Kandathil, TL Fletcher, Y Yuan, J Knowles, PLA Popelier Journal of computational chemistry 34 (21), 1850–1861, 2013 | 54 | 2013 |
| Generating, maintaining, and exploiting diversity in a memetic algorithm for protein structure prediction M Garza-Fabre, SM Kandathil, J Handl, J Knowles, SC Lovell Evolutionary computation 24 (4), 577-607, 2016 | 39 | 2016 |
| The prediction of atomic kinetic energies from coordinates of surrounding atoms using kriging machine learning TL Fletcher, SM Kandathil, PLA Popelier Theoretical Chemistry Accounts 133 (7), 1499, 2014 | 31 | 2014 |
| Toward a detailed understanding of search trajectories in fragment assembly approaches to protein structure prediction SM Kandathil, J Handl, SC Lovell Proteins: Structure, Function, and Bioinformatics 84, 411–426, 2016 | 20 | 2016 |
| Accurate prediction of polarised high order electrostatic interactions for hydrogen bonded complexes using the machine learning method kriging TJ Hughes, SM Kandathil, PLA Popelier Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 136, 32-41, 2015 | 18 | 2015 |
| Design in the DARK: learning deep generative models for de novo protein design L Moffat, SM Kandathil, DT Jones bioRxiv, 2022.01. 27.478087, 2022 | 17 | 2022 |
| Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteins SM Kandathil, JG Greener, AM Lau, DT Jones Proceedings of the National Academy of Sciences 119 (4), e2113348119, 2022 | 17 | 2022 |
| Improved fragment-based protein structure prediction by redesign of search heuristics SM Kandathil, M Garza-Fabre, J Handl, SC Lovell Scientific Reports 8 (1), 13694, 2018 | 16 | 2018 |
| Deep learning-based prediction of protein structure using learned representations of multiple sequence alignments SM Kandathil, JG Greener, AM Lau, DT Jones Biorxiv, 2020.11. 27.401232, 2020 | 15 | 2020 |
| Proton tunnelling and promoting vibrations during the oxidation of ascorbate by ferricyanide? SM Kandathil, MD Driscoll, RV Dunn, NS Scrutton, S Hay Physical Chemistry Chemical Physics 16 (6), 2256-2259, 2014 | 11 | 2014 |
| Adaptive HIV-1 evolutionary trajectories are constrained by protein stability AS Olabode, SM Kandathil, SC Lovell, DL Robertson Virus Evolution 3 (2), 2017 | 10 | 2017 |
| Uncommon mutational profiles of metastatic colorectal cancer detected during routine genotyping using next generation sequencing C Franczak, SM Kandathil, P Gilson, M Husson, M Rouyer, J Demange, ... Scientific Reports 9 (1), 1-8, 2019 | 5 | 2019 |
| Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterised proteins SM Kandathil, JG Greener, AM Lau, DT Jones bioRxiv, 2020.11. 27.401232, 2020 | 3 | 2020 |
| Near-complete protein structural modelling of the minimal genome JG Greener, N Desai, SM Kandathil, DT Jones arXiv preprint arXiv:2007.06623, 2020 | 3 | 2020 |
David JonesProfessor of Bioinformatics, University College LondonVerified email at ucl.ac.uk
