AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Findings support a model in which the functional effects of putative allosteric ligands on S. aureus PK may be associated with site-dependent reorganization of its residue communication network.
Across all four glycolytic enzymes, interface-localized pockets consistently emerged as promising candidate regulatory regions, suggesting that protein-protein interfaces may represent valuable targets for allosteric modulation.
Accurate prediction of protein-protein interaction interfaces is critical for understanding molecular recognition and guiding therapeutic design. This study presents a comprehensive machine learning pipeline for predicting interface residues in permanent homodimeric protein complexes. Using a curated dataset of 1311 ho...
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