Integrated analysis of “eighteen incompatible medicaments” of Chinese materia medica based on supramolecular imprinting interaction / 中草药

The “eighteen incompatible medicaments” is an important content of Chinese materia medica (CMM) compatibility contraindication, involving the key basic problem of safe and effective clinical use of CMM. Based on the rule of the automatic action of supramolecular “imprinting template” previously proposed, the current research basis of “eighteen incompatible medicaments” were integrated and analyzed. Firstly, the history of “eighteen incompatible medicaments” were summarized, then the theory of Chinese materia medica (CMM) compatibility was interpreted by supramolecular “imprinting template”: the compatibility of CMM are that two or more than two kinds of CMM effective components group of molecules (object) are combined by non-covalent bonds, and the new formed supramolecular system and the human body (subject) are interacted with each other according to “imprinting template”, and then the toxicity and efficacy were generated, while the compatibility law of CMM is displayed macroscopically. Based on this, three groups of “eighteen incompatible medicaments” were discussed from the perspective of supramolecular chemistry, and the supramolecular method integrating toxicity with efficacy was put forward, including “chemicalkinetics”, “network kinetics” and “spectrum toxicity and efficacy kinetics” methods, thereby providing the ideas and reference for the research on the mechanism of “eighteen incompatible medicaments” and providing reference for clinical application.

Research on core Chinese materia medica and herb compatibility in syndrome differentiation and treatment of insomnia based on CNM-centrality algorithm / 中草药

Using node centrality evaluation algorithms and clustering algorithms in complex networks, this paper selects insomnia as study object, and explores the core Chinese materia medica (CMM) and CMM compatibility regularity of syndrome differentiation and treatment. Firstly, we construct the CMM network model of insomnia, and discover the core CMM nodes in this network using single-index evaluation algorithms. Then, the CMM network can be divided by the clustering algorithm CNM-centrality based on node centrality, and the compatibility regularity among CMM can be found accurately.