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Department of Biological Sciences, University of Alabama in Huntsville, Huntsville, USA
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This work presents an AI/ML-based multi-modal framework that integrates both global and local protein descriptors to classify binding and non-binding conformations more effectively, and demonstrates that integrating local and global structural perspectives significantly improves predictive accuracy and robustness.
