ETCM V2.0: An Update with Comprehensive Resource and Rich Annotations for Traditional Chinese Medicine

Overview

Journal Acta Pharm Sin B

Publisher Elsevier

Specialty Pharmacology

Date 2023 Jul 10

PMID 37425046

Authors

Yanqiong Zhang

Xin Li

Yulong Shi

Tong Chen

Zhijian Xu

Ping Wang

Meng Yu

Wenjia Chen

Bing Li

Zhiwei Jing

Hong Jiang

Lu Fu

Wenjing Gao

Yanhua Jiang

Xia Du

Zipeng Gong

Weiliang Zhu

Hongjun Yang

Haiyu Xu

Affiliations

Soon will be listed here.

Abstract

Existing traditional Chinese medicine (TCM)-related databases are still insufficient in data standardization, integrity and precision, and need to be updated urgently. Herein, an Encyclopedia of Traditional Chinese Medicine version 2.0 (ETCM v2.0, http://www.tcmip.cn/ETCM2/front/#/) was constructed as the latest curated database hosting 48,442 TCM formulas recorded by ancient Chinese medical books, 9872 Chinese patent drugs, 2079 Chinese medicinal materials and 38,298 ingredients. To facilitate the mechanistic research and new drug discovery, we improved the target identification method based on a two-dimensional ligand similarity search module, which provides the confirmed and/or potential targets of each ingredient, as well as their binding activities. Importantly, five TCM formulas/Chinese patent drugs/herbs/ingredients with the highest Jaccard similarity scores to the submitted drugs are offered in ETCM v2.0, which may be of significance to identify prescriptions/herbs/ingredients with similar clinical efficacy, to summarize the rules of prescription use, and to find alternative drugs for endangered Chinese medicinal materials. Moreover, ETCM v2.0 provides an enhanced JavaScript-based network visualization tool for creating, modifying and exploring multi-scale biological networks. ETCM v2.0 may be a major data warehouse for the quality marker identification of TCMs, the TCM-derived drug discovery and repurposing, and the pharmacological mechanism investigation of TCMs against various human diseases.

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