Author

Nicholas Hollmer

Institute for Protein Innovation

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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Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Aaron W. KollaschiD· 1 shared Aditi Kachare· 1 shared Alain ChédotaliD· 1 shared Andre A. R. TeixeiraiD· 1 shared Anita GhoshiD· 1 shared Chang YangiD· 1 shared Debora S. MarksiD· 1 shared Deborah J. MoshinskyiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

Aaron W. KollaschORCID

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Author profile →

1 paper

Recent·Most cited

High-Throughput Machine Learning-Aided Antibody Discovery for Cell Surface Antigens

Deepash Kothiwal, Aaron W. Kollasch, Murali Anuganti, Nicholas Hollmer, Anita Ghosh, Roushu Zhang, Haiying Li, Steffan B. Paul, Ruitong Li, Yvrick Zagar, Mina Abdollahi, Zach Anderson, Filmawit Belay, Matthew Salotto, Sophia A. Ulmer, , Rob Meijers

The paper develops a synthetic Fab yeast display library integrated with machine learning to discover antibodies against cell surface antigens, yielding hundreds of validated antibodies and a public dataset.

Cell Systems · Jun 23, 2026Peer-reviewedBiophysics