| Unified rational protein engineering with sequence-based deep representation learning EC Alley, G Khimulya, S Biswas, M AlQuraishi, GM Church Nature methods 16 (12), 1315-1322, 2019 | 954 | 2019 |
| Low-N protein engineering with data-efficient deep learning S Biswas, G Khimulya, EC Alley, KM Esvelt, GM Church Nature methods 18 (4), 389-396, 2021 | 366 | 2021 |
| Bidirectional contact tracing could dramatically improve COVID-19 control WJ Bradshaw, EC Alley, JH Huggins, AL Lloyd, KM Esvelt Nature communications 12 (1), 232, 2021 | 142 | 2021 |
| The biosecurity benefits of genetic engineering attribution G Lewis, JL Jordan, DA Relman, GD Koblentz, J Leung, A Dafoe, ... Nature communications 11 (1), 6294, 2020 | 21 | 2020 |
| A machine learning toolkit for genetic engineering attribution to facilitate biosecurity EC Alley, M Turpin, AB Liu, T Kulp-McDowall, J Swett, R Edison, ... Nature Communications 11 (1), 6293, 2020 | 20 | 2020 |
| Unified rational protein engineering with sequence-only deep representation learning. bioRxiv EC Alley, G Khimulya, S Biswas, M AlQuraishi, GM Church | 20 | 2019 |
| Insidious Insights: Implications of viral vector engineering for pathogen enhancement JB Sandbrink, EC Alley, MC Watson, GD Koblentz, KM Esvelt Gene Therapy 30 (5), 407-410, 2023 | 11 | 2023 |
| Bidirectional contact tracing is required for reliable COVID-19 control WJ Bradshaw, EC Alley, JH Huggins, AL Lloyd, KM Esvelt MedRxiv, 2020.05. 06.20093369, 2020 | 10 | 2020 |
| Analysis of the first genetic engineering attribution challenge OM Crook, KL Warmbrod, G Lipstein, C Chung, CW Bakerlee, ... Nature communications 13 (1), 7374, 2022 | 7 | 2022 |
| Attribution of genetic engineering: A practical and accurate machine-learning toolkit for biosecurity EC Alley, M Turpin, AB Liu, T Kulp-McDowall, J Swett, R Edison, ... bioRxiv, 2020.08. 22.262576, 2020 | 4 | 2020 |
| Unified rational protein engineering with sequence-only deep representation learning EC Alley, G Khimulya, S Biswas, M AlQuraishi, GM Church Biorxiv, 0 | 4 | |
| Machine learning to promote transparent provenance of genetic engineering EC Alley Massachusetts Institute of Technology, 2021 | 1 | 2021 |
| Systems and methods for rational protein engineering with deep representation learning G Khimulya, E Alley, S Biswas US Patent 12,040,050, 2024 | | 2024 |
