Evaluates allosteric classification and multi-target Vina discrepancies, suggesting method improvements.
Full validation of the Lo-Shu/Markov-Fiedler C-alpha geometric framework across three tasks. (1) Allosteric classification on n=569 proteins (486 allosteric from UniProt KW-0021+ASBench, 83 orthosteric-only). Size confound (rho(CHC,n)=0.860) confirmed and corrected via OLS residualization. After correction: CHC loses significance; lambda_2_res (p=0.04), flex_res (p=0.003), rig_res (p=0.001) retained. RF AUC=0.882 (permutation p=0.005). (2) Multi-target Vina discrepancy: 8 targets, 46 ligands, 37/46 under-scored; domain-boundary hypothesis supported for kinases, not HIV-PR (honest negative). (3) Calibrated claim: original lightweight integration, not world-first. Next step: run PASSer/ALLO on same dataset for direct head-to-head comparison.
No takes yet. Share an insight, caveat, or question.
Yao-Kai Kao (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: