RNA-protein complex refinement using AI modeling and docking
This study presents an efficient technique for refining protein-RNA complexes using artifilial intelligence (AI) based modeling and flexible docking. The method, utilizing parallel cascade selection molecular dynamics (PaCS-MD), accelerates conformational sampling of flexible RNA regions and produces high-quality complex models. Experimental validation demonstrates its superiority over template-based modeling, suggesting its potential for constructing complexes with non-canonical RNA-protein interactions