[Screening and evaluation of core prescriptions for impotence based on network robustness and data mining].

Q3 Pharmacology, Toxicology and Pharmaceutics
Yu Li, Feng-Rong Zhang, Huan-Huan Wang, Meng-Li Chang, He Xu, Yi Zhang, Shi-Huan Tang
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引用次数: 0

Abstract

This study aims to explore and analyze ancient proven prescriptions and famous physician cases for treating impotence, so as to obtain the core prescriptions for traditional Chinese medicine(TCM) treatment of impotence. It further selected and evaluated these core prescriptions to provide a demonstration for the development of new drugs for advantageous diseases treated with TCM. Through the retrieval of ancient proven prescriptions and famous physician cases for treating impotence, a database of prescriptions for treating impotence was established, and the TCM inheritance computational platform was used to explore and analyze the medication patterns of these proven prescriptions and famous physician cases. Based on the TCM efficacy prediction platform of network robustness, the interference scores of core prescriptions in the ancient proven prescriptions and famous physician cases were calculated and analyzed. On this basis, the results of ancient proven prescriptions, famous physician cases, and computational analysis were comprehensively evaluated to determine the development priority level of the core prescriptions obtained through clustering. The results revealed that medicines in the ancient proven prescriptions and famous physician cases primarily aimed at tonifying deficiency, promoting blood circulation, eliminating blood stasis, clearing heat, and resolving external symptoms, with a particular focus on warm-natured and sweet-flavored medicines associated with the spleen, liver, kidney, and lung meridians. The core prescriptions obtained from the clustering analysis of ancient proven prescriptions and famous physician cases indicated that ancient proven prescriptions combination 1 had the most perturbing effect on the disease network as determined by network robustness analysis. A comprehensive evaluation indicated that prescription combination 1 had the most optimal development potential. TCM treatment for impotence focused on regulating the functions of the spleen, liver, kidney, and lung, aiming to tonify deficiency, with heat-clearing, blood-activating, stasis-resolving, and exterior-releasing medications supplemented. The obtained ancient proven prescriptions combination 1 exhibited the highest potential development value. The integrated strategy of "ancient proven prescriptions-famous physician cases-computational analysis" can be utilized to screen candidate TCM new drug prescriptions.

[基于网络鲁棒性和数据挖掘的阳痿核心处方筛选与评估]。
本研究旨在探索和分析古代治疗阳痿的验方和名医案例,从而获得中医治疗阳痿的核心方剂。研究还对这些核心处方进行了筛选和评价,为开发中医治疗优势病种的新药提供示范。通过检索古代治疗阳痿的验方和名医案例,建立了治疗阳痿的验方数据库,并利用中医药传承计算平台探索和分析这些验方和名医案例的用药规律。基于中医药疗效预测平台的网络鲁棒性,计算分析了古验方和名医病例中核心方剂的干扰分值。在此基础上,对古方验方、名医案例和计算分析结果进行综合评价,确定聚类所得核心方剂的发展优先级别。结果显示,古验方和名医验案中的药物主要以补虚、活血、祛瘀、清热、解表为主,其中尤以脾经、肝经、肾经、肺经相关的温性药和甘味药为主。通过对古方验方和名医病例进行聚类分析得到的核心方剂表明,根据网络鲁棒性分析,古方验方组合 1 对疾病网络的扰动作用最大。综合评价表明,方剂组合 1 具有最佳的发展潜力。中医治疗阳痿以调理脾、肝、肾、肺功能为主,以补益虚损为目的,辅以清热、活血、化瘀、解表等药物。获得的古方验方组合 1 显示出最高的潜在开发价值。古验方-名医病例-计算分析 "的综合策略可用于筛选候选中药新药方剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Zhongguo Zhongyao Zazhi
Zhongguo Zhongyao Zazhi Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
1.50
自引率
0.00%
发文量
581
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