Author

Maya Eisenberg

Institute for Bioscience and Biotechnology Research

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:protein structure· 1

Frequent Co-Authors

Brian G. PierceiD· 1 shared Jessica LeeiD· 1 shared Melyssa CheungiD· 1 shared Minjae ParkiD· 1 shared Nathaniel R. FelbingeriD· 1 shared Rui YiniD· 1 shared Shayana SaravanakumariD· 1 shared Shu Yuan Shi· 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 paperBioinformatics

Brian G. PierceORCID

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1 paper

Recent·Most cited

Benchmarking AlphaFold and related deep learning approaches for modeling antibody and TCR antigen recognition

Rui Yin, Shayana Saravanakumar, Shu Yuan Shi, Minjae Park, Valerie Lin, Jessica Lee, Melyssa Cheung, Nathaniel R. Felbinger, Sivan Kaufman, Maya Eisenberg, Brian G. Pierce

This study benchmarks AlphaFold and related methods for modeling antibody and TCR antigen recognition, showing improvements with AlphaFold3 and increased sampling but varying success across complex types.

bioRxiv · Jul 6, 2026 · PreprintBioinformatics