Author

Tatiana J. Liang

University of California, Berkeley

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Biology Disciplines

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Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:plant (other)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

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Brandon Vega· 1 shared Danielle M. StevensiD· 1 shared David K. YangiD· 1 shared Gitta CoakeriD· 1 shared Ksenia V. KrasilevaiD· 1 shared Tianrun LiiD· 1 shared

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2025-2025 · peak 1/yr

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1 shared paperImmunology

Brandon Vega

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1 paper

Recent·Most cited

ImmunologybioRxivPreprintJul 11, 2025

mamp-ml: A deep learning approach to epitope immunogenicity in plants

Danielle M. Stevens, David K. Yang, Tatiana J. Liang…·Ksenia V. Krasileva

The paper introduces mamp-ml, a deep learning model predicting plant receptor-ligand interactions using sequence data and ESM-2, achieving 73% accuracy without experimental structures.

3 citations

plant (other)protein sequence

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