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

• Published in: Zhongguo zhongyao zazhi Vol. 49; no. 15; p. 4230
• Main Authors: Li, Yu, Zhang, Feng-Rong, Wang, Huan-Huan, Chang, Meng-Li, Xu, He, Zhang, Yi, Tang, Shi-Huan
• Format: Journal Article
• Language: Chinese
• Published: China 01.08.2024
• Subjects: Data Mining; Drug Prescriptions; Drugs, Chinese Herbal - therapeutic use; Humans; Medicine, Chinese Traditional; famous physician cases; impotence; ancient proven prescriptions; data mining; network robustness
• ISSN: 1001-5302
• DOI: 10.19540/j.cnki.cjcmm.20240510.501

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 computation