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Demonstrates geometric pharmacological signatures in TCM formulas, suggesting new classification methods.
This study applies the Lo-Shu Projection (LSP) framework to characterize the geometric pharmacological signatures of bioactive compounds across two pharmacologically distinct TCM formulas: Xuefu Zhuyu Tang (XFZYT, Huoxue/blood-activating) and Buyang Huanwu Tang (BYHWT, Buyang/Qi-tonifying). The Lo-Shu Local Transition Energy score (Q_LTE), derived from protein backbone phi/psi dihedral angle mapping onto the 3x3 Lo-Shu numeric grid, significantly discriminated mechanism-specific targets from controls in both formulas: XFZYT (p=7.68e-6, d=-0.790) and BYHWT (p<0.0001, d=-1.249). AutoDock Vina binding energies showed no discriminatory power in either formula (p=0.082 and p=0.470 respectively). Calycosin (Huang-Qi, Jun herb) demonstrated Buyang-selective binding (p=0.047), providing the first compound-level geometric validation of Jun herb mechanism specificity. Total: 372 compound-target pairs across 22 bioactive compounds and 34 protein targets (with overlap). These findings establish Q_LTE as a universal, parameter-free geometric classifier for TCM pharmacological mechanism classification.
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Yao-Kai Kao (2026) studied this question.
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