Author

Ben Krause

Salesforce (United States)ORCID 0000-0002-9503-8823Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Nikhil NaikiD· 2 shared Subu K. SubramanianiD· 2 shared Aaron K. SatoiD· 1 shared Ali MadaniiD· 1 shared Benjamin P. MohriD· 1 shared Caiming XiongiD· 1 shared Eric R. GreeneiD· 1 shared James M. HoltoniD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersSynthetic Biology

Nikhil NaikORCID

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2 papers

Recent·Most cited

Improving antibody affinity using laboratory data with language model guided design

Ben Krause, Subu K. Subramanian, Tom Z. Yuan, Marisa L. Yang, Aaron K. Sato, Nikhil Naik

The paper fine-tunes language models on laboratory data to design antibodies with improved affinity, achieving sub-25 picomolar binding for four antibodies.

bioRxiv · Sep 13, 2023 · PreprintSynthetic Biology

Deep neural language modeling enables functional protein generation across families

Ali Madani, Ben Krause, Eric R. Greene, Subu K. Subramanian, Benjamin P. Mohr, James M. Holton, Jose Luis Olmos, Caiming Xiong, Zachary Z. Sun, Richard Socher, James S. Fraser, Nikhil Naik

This paper shows that deep learning language models can generate functional artificial proteins across families, with activities similar to natural proteins and structures resembling natural folds.

bioRxiv · Jul 18, 2021 · PreprintSynthetic Biology