scispace - formally typeset
Open AccessJournal ArticleDOI

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

Reads0
Chats0
TLDR
The particular strengths of TCMSP are the composition of the large number of herbal entries, and the ability to identify drug-target networks and drug-disease networks, which will help revealing the mechanisms of action of Chinese herbs, uncovering the nature ofTCM theory and developing new herb-oriented drugs.
Abstract
Modern medicine often clashes with traditional medicine such as Chinese herbal medicine because of the little understanding of the underlying mechanisms of action of the herbs. In an effort to promote integration of both sides and to accelerate the drug discovery from herbal medicines, an efficient systems pharmacology platform that represents ideal information convergence of pharmacochemistry, ADME properties, drug-likeness, drug targets, associated diseases and interaction networks, are urgently needed. The traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) was built based on the framework of systems pharmacology for herbal medicines. It consists of all the 499 Chinese herbs registered in the Chinese pharmacopoeia with 29,384 ingredients, 3,311 targets and 837 associated diseases. Twelve important ADME-related properties like human oral bioavailability, half-life, drug-likeness, Caco-2 permeability, blood-brain barrier and Lipinski’s rule of five are provided for drug screening and evaluation. TCMSP also provides drug targets and diseases of each active compound, which can automatically establish the compound-target and target-disease networks that let users view and analyze the drug action mechanisms. It is designed to fuel the development of herbal medicines and to promote integration of modern medicine and traditional medicine for drug discovery and development. The particular strengths of TCMSP are the composition of the large number of herbal entries, and the ability to identify drug-target networks and drug-disease networks, which will help revealing the mechanisms of action of Chinese herbs, uncovering the nature of TCM theory and developing new herb-oriented drugs. TCMSP is freely available at http://sm.nwsuaf.edu.cn/lsp/tcmsp.php .

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment.

TL;DR: Network pharmacology is a rational approach for TCM studies, and with the development of TCM research, powerful and comprehensive TCM databases have emerged but need further improvements.
Journal ArticleDOI

BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine

TL;DR: BATMAN-TCM will contribute to the understanding of the “multi-component, multi-target and multi-pathway” combinational therapeutic mechanism of TCM, and provide valuable clues for subsequent experimental validation, accelerating the elucidation of TCm’s molecular mechanism.
Journal ArticleDOI

ETCM: an encyclopaedia of traditional Chinese medicine

TL;DR: ETCM provides predicted target genes ofTCM ingredients, herbs, and formulas, according to the chemical fingerprint similarity between TCM ingredients and known drugs, to facilitate functional and mechanistic studies of TCM.
Journal ArticleDOI

Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products

TL;DR: It is argued that a network pharmacology approach would enable an effective mapping of the yet unexplored target space of natural products, hence providing a systematic means to extend the druggable space of proteins implicated in various complex diseases.
Journal ArticleDOI

SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping.

TL;DR: SymMap integrates TCM with modern medicine in common aspects at both the phenotypic and molecular levels and inferred all pairwise relationships among SymMap components using statistical tests to give pharmaceutical scientists the ability to rank and filter promising results to guide drug discovery.
References
More filters
Journal ArticleDOI

Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks

TL;DR: Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
Journal ArticleDOI

Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings

TL;DR: Experimental and computational approaches to estimate solubility and permeability in discovery and development settings are described in this article, where the rule of 5 is used to predict poor absorption or permeability when there are more than 5 H-bond donors, 10 Hbond acceptors, and the calculated Log P (CLogP) is greater than 5 (or MlogP > 415).
Journal ArticleDOI

Open Babel: An open chemical toolbox

TL;DR: The implementation of Open Babel is detailed, key advances in the 2.3 release are described, and a variety of uses are outlined both in terms of software products and scientific research, including applications far beyond simple format interconversion.
Journal ArticleDOI

ChEMBL: a large-scale bioactivity database for drug discovery

TL;DR: ChEMBL is an Open Data database containing binding, functional and ADMET information for a large number of drug-like bioactive compounds to maximize their quality and utility across a wide range of chemical biology and drug-discovery research problems.
Journal ArticleDOI

DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs

TL;DR: DrugBank 3.0 represents the result of 2 years of manual annotation work aimed at making the database much more useful for a wide range of ‘omics’ applications, particularly with regard to drug target, drug description and drug action data.
Related Papers (5)