Author

Anita Ghosh

Institute for Protein InnovationORCID 0000-0002-5506-4680Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Chang YangiD· 2 shared Filmawit Belay· 2 shared Haisun ZhuiD· 2 shared Mina Abdollahi· 2 shared Rob MeijersiD· 2 shared Aaron W. KollaschiD· 1 shared Aditi Kachare· 1 shared Alain ChédotaliD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBiophysics

Chang YangORCID

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2 papers

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

Evaluating codon optimization strategies for mammalian glycoprotein production with an open-source expression vector

Chang Yang, Raina Soni, Sarah Visconti, Mina Abdollahi, Filmawit Belay, Anita Ghosh, Samuel W. Duvall, Curtis J. W. Walton, Rob Meijers, Haisun Zhu

The paper evaluates codon optimization strategies for mammalian glycoprotein production and finds that native codons are sufficient, while selective codon skewing can improve yields for some targets.

bioRxiv · Mar 20, 2026 · PreprintMolecular Biology