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Deep learning architectures integrating nanoparticle descriptors with patient-specific imaging (DCE-MRI for tumor perfusion, PET for metabolic activity) could forecast tumor accumulation, as demonstrated in proof-of-concept polymer studies achieving R 2 = 0.850.89 correlation with experimental biodistribution
A linear peptide samples an enormous number of conformations in solution, and only a small fraction resemble the shape a receptor binds
Tirzepatide Lys 16 may have a stacking interaction with GIPR Phe 127
Goetzl, E
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