Author

Justin Overhulse

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Molecular Biology· 1

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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 Kevin RyczkoiD· 1 shared Lee HuntingtoniD· 1 shared Lorenzo BoninsegnaiD· 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

On improving experimental binding affinity predictions with synthetic data

Kevin Ryczko, Phyo Phyo Kyaw Zin, Jordan E. Crivelli-Decker, Punit Jha, Harish Ramadas, Lorenzo Boninsegna, Justin Overhulse, Benjamin Shields, Pablo Lemos, Sasaank Bandi, Maarten Van Damme, Amogh Sood, Lee Huntington, Mary Pitman, Martin Ganahl, , Ly Le

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

bioRxiv · Mar 4, 2026 · PreprintMolecular Biology