Predicting protein–nucleic acid flexibility using persistent sheaf Laplacians

Key Points

• To predict B-factors of protein-nucleic acid complexes using advanced computational techniques.
• Utilized persistent sheaf Laplacians to model protein-nucleic acid interactions.
• Comparative analysis with traditional prediction methods to assess accuracy.
• Emphasized capturing atom-specific information across different scales.
• Achieved higher accuracy in predicting B-factors compared to conventional methods.
• Demonstrated the effectiveness of topological information in enhancing predictions.