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TCMBank-the largest TCM database provides deep learningbased Chinese-Western medicine exclusion prediction 被引量:1
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作者 Qiujie Lv Guanxing Chen +4 位作者 haohuai he Ziduo Yang Lu Zhao Kang Zhang Calvin Yu-Chian Chen 《Signal Transduction and Targeted Therapy》 SCIE CSCD 2023年第4期1396-1398,共3页
Dear Editor,In the modernization of traditional Chinese medicine(TCM),two key aspects are determining the active ingredients in herbs and elucidating the mechanism of action between the active ingredients and targets.... Dear Editor,In the modernization of traditional Chinese medicine(TCM),two key aspects are determining the active ingredients in herbs and elucidating the mechanism of action between the active ingredients and targets.The construction of a comprehensive and highly-reliability TCM database is highly desirable.Since its establishment in 2011,our TCM Database@Taiwan1 has been used extensively and heavily cited,and it also has been included in the ZINC database.2 Using natural language processing,we set up a knowledge graph and molecular signaling pathways to establish a TCM database,TCMBank(https://TCMBank.cn/),which extends from TCM Database@Taiwan and includes 9192 herbs,61,966 ingredients,15,179 targets,and 32,529 diseases.The updated TCMBank expanded the number of herbal ingredients from 32,364 to 61,966(unduplicated),and two new data fields,targets,and diseases,have been added.The number of herbs with connection information is 9010,and the average number of connection edges of herbs is 16.05.The number of ingredients with connection information is 54,676,and the average number of connection edges of herbs is 5.26. 展开更多
关键词 TCM HERBAL DATABASE
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