| High-throughput screening, next generation sequencing and machine learning: advanced methods in enzyme engineering R Vanella, G Kovacevic, V Doffini, JF de Santaella, MA Nash Chemical Communications 58 (15), 2455-2467, 2022 | 44 | 2022 |
| Understanding activity-stability tradeoffs in biocatalysts by enzyme proximity sequencing R Vanella, C Küng, AA Schoepfer, V Doffini, J Ren, MA Nash Nature Communications 15 (1), 1807, 2024 | 6 | 2024 |
| Data-Error Scaling in Machine Learning on Natural Discrete Combinatorial Mutation-prone Sets: Case Studies on Peptides and Small Molecules V Doffini, OA Von Lilienfeld, MA Nash arXiv preprint arXiv:2405.05167, 2024 | | 2024 |
| Iterative Machine Learning for Classification and Discovery of Single-Molecule Unfolding Trajectories from Force Spectroscopy Data V Doffini, H Liu, Z Liu, MA Nash Nano Letters 23 (22), 10406-10413, 2023 | | 2023 |
| Dissecting the Biophysical Origins of Activity-Stability Tradeoffs in D-Amino Acid Oxidase with Enzyme Proximity-Seq R Vanella, C Küng, AA Schoepfer, V Doffini, J Ren, MA Nash bioRxiv, 2023.02. 24.529916, 2023 | | 2023 |
Michael A. NashAssociate Professor, University of Basel & ETH Zurich在 ethz.ch 的电子邮件经过验证
