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Sam Gelman

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Proceedings of the National Academy of Sciences of the United States of America|November 24, 2021
Neural networks to learn protein sequence-function relationships from deep mutational scanning dataSam Gelman, Sarah A Fahlberg, Pete Heinzelman, et al.
Biorxiv : the Preprint Server for Biology|April 1, 2024
Biophysics-based protein language models for protein engineeringSam Gelman, Bryce Johnson, Chase Freschlin, et al.
Nature Methods|September 11, 2025
Biophysics-based protein language models for protein engineeringSam Gelman, Bryce Johnson, Chase R Freschlin, et al.
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Showing results (1-10 of 3) with videos related to

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Pageof 1
Proceedings of the National Academy of Sciences of the United States of America|November 24, 2021
Neural networks to learn protein sequence-function relationships from deep mutational scanning dataSam Gelman, Sarah A Fahlberg, Pete Heinzelman, et al.
Biorxiv : the Preprint Server for Biology|April 1, 2024
Biophysics-based protein language models for protein engineeringSam Gelman, Bryce Johnson, Chase Freschlin, et al.
Nature Methods|September 11, 2025
Biophysics-based protein language models for protein engineeringSam Gelman, Bryce Johnson, Chase R Freschlin, et al.
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