Author

Alexander Brown

Primary ORCID profile (0000-0003-0122-4228 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Alexander BrowniD1 paper · Health New Zealand

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein design· 1 Assay:proteomics· 1

Frequent Co-Authors

Abigail B. VenturaiD· 1 shared Anand V. SastryiD· 1 shared Andrew L. StachyraiD· 1 shared Ariel Schwartz· 1 shared Borka Medjo· 1 shared Cailen M. McCloskey· 1 shared Christa Kohnert· 1 shared David SpenceriD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Abigail B. VenturaORCID

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1 paper

Recent·Most cited

Antibody optimization enabled by artificial intelligence predictions of binding affinity and naturalness

Sharrol T. Bachas, Goran Rakocevic, David Spencer, Anand V. Sastry, Robel Gemechu Haile, John M. Sutton, George W. Kasun, Andrew L. Stachyra, Jahir M. Gutierrez, Edriss Yassine, Borka Medjo, Vincent Blay, Christa Kohnert, Jennifer T. Stanton, Alexander Brown, , Roberto Spreafico

Language models trained on high-throughput affinity data predict KD of unseen antibody variants across three orders of magnitude, and a "naturalness" score can be optimised alongside affinity.

bioRxiv · Aug 16, 2022 · PreprintBioinformatics