Kevin M. Esvelt, Ph.D.
Affiliations: | 2010 | Harvard University, Cambridge, MA, United States |
Area:
The Chemistry of Molecular EvolutionGoogle:
"Kevin Esvelt"Mean distance: 8.44 | S | N | B | C | P |
Parents
Sign in to add mentorGeorge M. Church | grad student | Harvard | ||
David R. Liu | grad student | 2010 | Harvard | |
(A System for the Continuous Directed Evolution of Biomolecules.) |
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Publications
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Smidler AL, Marrogi E, Kauffman J, et al. (2024) CRISPR-mediated germline mutagenesis for genetic sterilization of Anopheles gambiae males. Scientific Reports. 14: 4057 |
Smidler AL, Paton DG, Church GM, et al. (2023) CRISPR-mediated germline mutagenesis for genetic sterilization of males. Biorxiv : the Preprint Server For Biology |
DeBenedictis EA, Söll D, Esvelt KM. (2022) Measuring the tolerance of the genetic code to altered codon size. Elife. 11 |
DeBenedictis EA, Chory EJ, Gretton DW, et al. (2021) Systematic molecular evolution enables robust biomolecule discovery. Nature Methods |
Biswas S, Khimulya G, Alley EC, et al. (2021) Low-N protein engineering with data-efficient deep learning. Nature Methods. 18: 389-396 |
Chory EJ, Gretton DW, DeBenedictis EA, et al. (2021) Enabling high-throughput biology with flexible open-source automation. Molecular Systems Biology. 17: e9942 |
Long KC, Alphey L, Annas GJ, et al. (2020) Core commitments for field trials of gene drive organisms. Science (New York, N.Y.). 370: 1417-1419 |
Lewis G, Jordan JL, Relman DA, et al. (2020) The biosecurity benefits of genetic engineering attribution. Nature Communications. 11: 6294 |
Alley EC, Turpin M, Liu AB, et al. (2020) A machine learning toolkit for genetic engineering attribution to facilitate biosecurity. Nature Communications. 11: 6293 |
Noble C, Min J, Olejarz J, et al. (2019) Daisy-chain gene drives for the alteration of local populations. Proceedings of the National Academy of Sciences of the United States of America |