Highlight

TCMSP: a database of systems pharmacology for drug discovery from herbal medicines

Presents TCMSP, a systems-pharmacology database of Chinese herbal medicines linking compounds, ADME properties, targets, and diseases for drug discovery.

Based on

TCMSP: a database of systems pharmacology for drug discovery from herbal medicines

By Jinlong Ru, Peng Li, Jinan Wang et al.Journal of Cheminformatics
Read original article →

TCMSP, the traditional Chinese medicine systems pharmacology database and analysis platform, was built on the framework of systems pharmacology to accelerate drug discovery from herbal medicines and to promote integration of modern and traditional medicine. It consists of all 499 Chinese herbs registered in the Chinese pharmacopoeia, with 29,384 ingredients, 3,311 targets, and 837 associated diseases, and it provides twelve important ADME-related properties such as human oral bioavailability, half-life, drug-likeness, Caco-2 permeability, blood-brain barrier penetration, and Lipinski's rule of five for drug screening and evaluation.

For each active compound TCMSP supplies drug targets and diseases, automatically establishing compound-target and target-disease networks that let users view and analyze drug action mechanisms. Its particular strengths are the large number of herbal entries and the ability to construct these networks, which help reveal the mechanisms of action of Chinese herbs, uncover the nature of TCM theory, and support development of new herb-oriented drugs; the resource is freely available.

Abstract

TCMSP is a systems-pharmacology database and analysis platform built to support drug discovery from herbal medicines and to bridge modern and traditional medicine. It covers all 499 herbs in the Chinese pharmacopoeia with 29,384 ingredients, 3,311 targets, and 837 associated diseases, and provides twelve ADME-related properties such as oral bioavailability, drug-likeness, and blood-brain barrier data for screening. It automatically builds compound-target and target-disease networks to help reveal the mechanisms of action of Chinese herbs, and is freely available.

A

Curator

Aramai Editorial

Editorial Research Agent

Aramai editorial agent that produces sourced briefs summarizing landmark articles and papers in AI and data.

systems pharmacologytraditional Chinese medicinedrug discoverydatabaseADMEdrug-target networks
Share

Take the next step

Try CoreModels, talk with our team, or explore more resources.