Diagram titled ‘Protein–Drug Prediction Task Breakdown’ showing a hierarchical tree of modeling tasks. Top branches include apo monomer and protein–protein interactions, with sub-branches such as ensembles, induced-fit models, multimers, folded–unfolded complexes, and protein–ligand complexes with mutation effects on binding. Additional branches include potency, ADMET properties (e.g., solubility and blood–brain barrier penetration), and kinetics (e.g., koff). A legend indicates model maturity levels: solid lines (established), dashed lines (promising), and dotted lines (untapped).
More protein-ligand data are needed for AlphaFold-like models (& AI/ML) to enable prospective design!
Check out our piece in "Current Opinion in Structural Biology" – Equal parts a thank-you-letter to the PDB & summarizes how datasets will enable task-focused models!
Link: doi.org/10.1016/j.sb...