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Seonghyun Park

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#machine learning Preprint Oct 2026

Blending experimental electron density information to protein-ligand interaction

Machine learning models for protein-ligand interactions commonly rely on atomic coordinates, which are constructed by fitting molecular models to experimental electron-density maps. However, most models represent each complex as a single fitted structure, which can omit information about conformational heterogeneity, p...

Seonghyun Park, Shuan Chen, Jun Jin Choong et al. · 0 citations

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