Open access
Aug 2026
PG-MLD: Physics-Guided Molecular Representation Learning via Dynamic 3D Trajectory Distillation
Zihe Liu, Zhonghan Wu, Zhuo Chen et al.
· bioRxiv · 0 citations
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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DQHTFI is proposed, a fine-grained interaction prediction framework for drug–target interaction classification and binding affinity regression that employs BRICS fragments and Pfam functional domains as the basic interaction units and jointly learns semantic and structural representations.
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