Author

Brij Bhushan Mehta

University of OsloORCID 0000-0002-8501-7076Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Alissa M. HummeriD· 1 shared Andrei SlabodkiniD· 1 shared Charlotte Mary DeaneiD· 1 shared Fridtjof Lund‐JohanseniD· 1 shared Jeliazko R. JeliazkoviD· 1 shared Khang Lê QuýiD· 1 shared Lewis ChineryiD· 1 shared Puneet RawatiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alissa M. HummerORCID

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1 paper

Recent·Most cited

Simple computational methods can outperform deep learning in designing diverse, binder-enriched antibody libraries

Lewis Chinery, Alissa M. Hummer, Brij Bhushan Mehta, Rahmad Akbar, Puneet Rawat, Andrei Slabodkin, Khang Lê Quý, Fridtjof Lund‐Johansen, Victor Greiff, Jeliazko R. Jeliazkov, Charlotte Mary Deane

The paper shows that simple computational methods like BLOSUM can create diverse, binder-enriched antibody libraries better than deep learning approaches.

bioRxiv · Mar 26, 2024 · PreprintBioinformatics