Author

Irené M. Francino-Urdaniz

University of Colorado BoulderORCID 0000-0001-8786-8002Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:graph neural network· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

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C. N. Davis· 1 shared J. Ash· 1 shared Sagar D. KhareiD· 1 shared Siobhan P. KellsiD· 1 shared Timothy A. WhiteheadiD· 1 shared

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2025-2025 · peak 1/yr

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1 shared paperBiochemistry

C. N. Davis

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1 paper

Recent·Most cited

BiochemistrybioRxivPreprintNov 4, 2025

Graph attention with structural features improves the generalizability of identifying functional sequences at a protein interface

J. Ash, Irené M. Francino-Urdaniz, Siobhan P. Kells…·Sagar D. Khare

The paper improves prediction of functional protein interface sequences by integrating structural and sequence features using a graph attention model, achieving better generalization across diverse variants.

DOI 10.1101/2025.11.04.686550

protein sequencedeep learning

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