Author

A. Khaleq

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

H. Kabodha· 1 shared

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJan 26, 2026

HYALINE: Geometric Deep Learning for Accurate Prediction of G Protein-Coupled Receptor Activation States from Structure

A. Khaleq, H. Kabodha

Hyaline predicts GPCR activation states from 3D structures using geometric deep learning, achieving high accuracy and outperforming sequence-only models.

DOI 10.64898/2026.01.05.697778

protein structuredeep learning

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