Author

Joel Enrique Castro Hernandez

University of California, Berkeley

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Systems Biology· 1

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Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Assay:protein sequence· 1

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Angelica Lam· 1 shared Claire J. LeBlanc· 1 shared G.F. HuiD· 1 shared Jack DemarayiD· 1 shared Marissa A. ZinteliD· 1 shared Max Valentín StalleriD· 1 shared Pooja Agarwal· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperSystems Biology

Angelica Lam

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1 paper

Recent·Most cited

Systems BiologyCell SystemsPeer-reviewedAug 17, 2026

Interpretable biophysical neural networks of transcriptional activation domains separate roles of protein abundance and coactivator binding

Claire J. LeBlanc, Pooja Agarwal, Jack Demaray…·Max Valentín Staller

This paper develops interpretable biophysical neural networks to predict transcriptional activation domains from protein sequences, revealing how residue properties influence both activation strength and protein abundance.

1 citation

protein sequencedeep learning

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