Author

Phyo Phyo Kyaw Zin

SandboxAQORCID 0000-0002-5547-5594Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Amogh SoodiD· 1 shared Andrea BortolatoiD· 1 shared Benjamin Shields· 1 shared Harish Ramadas· 1 shared Jordan E. Crivelli-DeckeriD· 1 shared Justin Overhulse· 1 shared Kevin RyczkoiD· 1 shared Lee HuntingtoniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperMolecular Biology

Amogh SoodORCID

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1 paper

Recent·Most cited

Molecular BiologybioRxivPreprintMar 4, 2026

On improving experimental binding affinity predictions with synthetic data

Kevin Ryczko, Phyo Phyo Kyaw Zin, Jordan E. Crivelli-Decker…·Ly Le

The paper improves binding affinity predictions by using synthetic data, showing that combining synthetic and experimental data enhances model performance.

DOI 10.64898/2026.03.02.708607

statistical modeldeep learning

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