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BioGraphX: Bridging the Sequence-Structure Gap via Physicochemical Graph Encoding for Interpretable Subcellular Localization Prediction

2026-01-23

Abstract excerpt

Computational approaches for protein subcellular localization prediction are important for understanding cellular mechanisms and developing treatments for complex diseases. However, a critical limitation of current methods is their lack of interpretability: while they can predict where a protein localizes, they fail to explain why the protein is assigned to a specific location. Moreover, understanding protein beha...

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Literature Corpus work: d78a7281-28e1-50f9-8605-094b98daa6c9
DOI: 10.64898/2026.01.21.700873

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