Protein sequence design with deep generative models Z Wu, KE Johnston, FH Arnold, KK Yang Current Opinion in Chemical Biology 65, 18-27, 2021 | 134 | 2021 |
Advances in machine learning for directed evolution BJ Wittmann, KE Johnston, Z Wu, FH Arnold Current Opinion in Structural Biology 69, 11-18, 2021 | 131 | 2021 |
FLIP: Benchmark tasks in fitness landscape inference for proteins C Dallago, J Mou, KE Johnston, BJ Wittmann, N Bhattacharya, S Goldman, ... bioRxiv, 2021.11. 09.467890, 2021 | 94 | 2021 |
evSeq: Cost-Effective Amplicon Sequencing of Every Variant in a Protein Library BJ Wittmann, KE Johnston, PJ Almhjell, FH Arnold ACS Synthetic Biology 11 (3), 1313-1324, 2022 | 34 | 2022 |
Directed evolution of enzymatic silicon-carbon bond cleavage in siloxanes NS Sarai, TJ Fulton, RL O’Meara, KE Johnston, S Brinkmann-Chen, ... Science 383 (6681), 438-443, 2024 | 16 | 2024 |
Double-Network Nanogel as a Nonviral Vector for DNA Delivery M Ye, Y Wang, Y Zhao, R Xie, N Yodsanit, K Johnston, S Gong ACS applied materials & interfaces 11 (46), 42865-42872, 2019 | 11 | 2019 |
DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering J Yang, J Ducharme, KE Johnston, FZ Li, Y Yue, FH Arnold ACS Synthetic Biology 12 (8), 2444-2454, 2023 | 10 | 2023 |
Machine learning for protein engineering KE Johnston, C Fannjiang, BJ Wittmann, BL Hie, KK Yang, Z Wu Machine Learning in Molecular Sciences, 277-311, 2023 | 8 | 2023 |
A combinatorially complete epistatic fitness landscape in an enzyme active site KE Johnston, PJ Almhjell, EJ Watkins-Dulaney, G Liu, NJ Porter, J Yang, ... Proceedings of the National Academy of Sciences 121 (32), e2400439121, 2024 | 3 | 2024 |
The β-subunit of tryptophan synthase is a latent tyrosine synthase PJ Almhjell, KE Johnston, NJ Porter, JL Kennemur, VC Bhethanabotla, ... Nature Chemical Biology, 1-8, 2024 | 3 | 2024 |
Designing a compact, low-cost FRET microscopy platform for the undergraduate classroom JW Rupel, SM Sdao, KE Johnston, ET Nethery, KA Gabardi, BA Ratliff, ... The Biophysicist 1 (2), 4, 2020 | 1 | 2020 |
Acquiring Enzyme Sequence-Fitness Data at Scale Toward Predictive Methods for Enzyme Engineering KE Johnston California Institute of Technology, 2024 | | 2024 |
Machine Learning in Molecular Sciences C Qu, H Liu Springer, 2023 | | 2023 |