Author

John Holt

Boehringer Ingelheim (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Athena Davis· 1 shared Aviva Mazurek· 1 shared Javier Rivera· 1 shared Kenny Tsang· 1 shared Sandeep KumariD· 1 shared Srinath Kasturirangan· 1 shared Stephen R. ComeauiD· 1 shared Zhong-Fu Huang· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperMolecular Biology

Athena Davis

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1 paper

Recent·Most cited

Predicting the Purity of Multispecific Antibodies From Sequence Using Machine Learning: Methods and Applications

Aviva Mazurek, Athena Davis, Stephen R. Comeau, Kenny Tsang, Javier Rivera, Zhong-Fu Huang, John Holt, Sandeep Kumar, Srinath Kasturirangan

This paper uses machine learning to predict antibody purity from sequence and format data, showing it can effectively estimate monomer percentage in multispecific antibodies.

bioRxiv · Dec 5, 2023 · PreprintMolecular Biology