| 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 | 826 | 2022 |
| Design of metalloproteins and novel protein folds using variational autoencoders JG Greener, L Moffat, DT Jones Scientific reports 8 (1), 16189, 2018 | 130 | 2018 |
| Increasing the accuracy of single sequence prediction methods using a deep semi-supervised learning framework L Moffat, DT Jones Bioinformatics 37 (21), 3744-3751, 2021 | 35 | 2021 |
| Using AlphaFold for rapid and accurate fixed backbone protein design L Moffat, JG Greener, DT Jones Biorxiv, 2021.08. 24.457549, 2021 | 27 | 2021 |
| 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 | 23 | 2022 |
| De Novo Protein Design using Generative Machine Learning LI Moffat UCL (University College London), 2024 | | 2024 |
| An amazing experience:“One that no one regrets and everyone will remember” L Moffat The Biochemist 37 (1), 34-35, 2015 | | 2015 |
David JonesProfessor of Bioinformatics, University College LondonE-mail megerősítve itt: ucl.ac.uk
