| Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries L Li, E Gupta, J Spaeth, L Shing, R Jaimes, E Engelhart, R Lopez, ... Nature Communications 14 (1), 3454, 2023 | 20 | 2023 |
| A dataset comprised of binding interactions for 104,972 antibodies against a SARS-CoV-2 peptide E Engelhart, R Emerson, L Shing, C Lennartz, D Guion, M Kelley, C Lin, ... Scientific Data 9 (1), 653, 2022 | 11 | 2022 |
| 3D-Printable Materials for Microbial Liquid Culture ME Walsh, A Ostrinskaya, MT Sorensen, DS Kong, PA Carr 3D Printing and Additive Manufacturing 3 (2), 113-118, 2016 | 10 | 2016 |
| Security Measures for Safeguarding the Bioeconomy M Walsh, W Streilein Health security 18 (4), 313-317, 2020 | 6 | 2020 |
| Highly accurate classification of biological spores by culture medium for forensic attribution using multiple chemical signature types and machine learning P Ippoliti, F Nargi, J Han, A Casale, M Walsh, T Boettcher, J Dettman Analytical and Bioanalytical Chemistry 412, 4287-4299, 2020 | 4 | 2020 |
| Machine Learning Optimization of Candidate Antibodies Yields Highly Diverse Sub-nanomolar Affinity Antibody Libraries L Li, E Gupta, J Spaeth, L Shing, R Jaimes, RS Caceres, T Bepler, ... bioRxiv, 2022.10. 07.502662, 2022 | 2 | 2022 |
| Synthetic Biology PA Carr, J Bobrow, JC Comolli, NJ Guido, FE Nargi, TA Thorsen, ... Lincoln Laboratory Journal 24 (1), 2020 | 2 | 2020 |
| Safeguarding Mail-Order DNA Synthesis in the Age of Artificial Intelligence S Batalis, C Schuerger, GK Gronvall, ME Walsh Applied Biosafety, 2023 | 1 | 2023 |
| Lessons Learned From Limited Overlap of 15 In Vitro COVID-19 Drug Repurposing Screens PJ Tomezsko, CW Phillipson, ME Walsh Health security, 2023 | 1 | 2023 |
| Towards Risk Analysis of the Impact of AI on the Deliberate Biological Threat Landscape ME Walsh arXiv preprint arXiv:2401.12755, 2024 | | 2024 |
