Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment.
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TLDR
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.Abstract:
The research field of systems biology has greatly advanced, and as a result, the concept of network pharmacology has been developed. This advancement, in turn, has shifted the paradigm from a “one-target, one-drug” mode to a “network-target, multiple-component-therapeutics” mode. Network pharmacology is more effective for establishing a “compound-protein/gene-disease” network and revealing the regulation principles of small molecules in a high-throughput manner. This approach makes it very powerful for the analysis of drug combinations, especially Traditional Chinese Medicine (TCM) preparations. In this work, we first summarized the databases and tools currently used for TCM research. Second, we focused on several representative applications of network pharmacology for TCM research, including studies on TCM compatibility, TCM target prediction, and TCM network toxicology research. Third, we compared the general statistics of several current TCM databases and evaluated and compared the search results of these databases based on 10 famous herbs. In summary, 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. Additionally, given that several diseases could be treated by TCMs, with the mediation of gut microbiota, future studies should focus on both microbiome and TCMs to better understand and treat microbiome-related diseases.read more
Citations
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Applications of Network Pharmacology in Traditional Chinese Medicine Research.
TL;DR: The multitarget action in network pharmacology is consistent with the complex mechanisms of disease and drug action and using network Pharmacology to understand TCM is an emerging trend.
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The Methodological Trends of Traditional Herbal Medicine Employing Network Pharmacology
TL;DR: Overall, the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was the most frequently employed network pharmacology database in THM-NP studies.
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A comprehensive application: Molecular docking and network pharmacology for the prediction of bioactive constituents and elucidation of mechanisms of action in component-based Chinese medicine
TL;DR: In this review, emergent uses and applications of two techniques and further superiorities of the two techniques when embarked to boil down into a tidy system were illustrated.
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Network pharmacology analysis of the therapeutic mechanisms of the traditional Chinese herbal formula Lian Hua Qing Wen in Corona virus disease 2019 (COVID-19), gives fundamental support to the clinical use of LHQW.
Shi-Chao Zheng,Jan P. A. Baak,Shuang Li,Wenke Xiao,Hong Ren,Huan Yang,Yan-Xiong Gan,Chuan-Biao Wen +7 more
TL;DR: Detailed network analysis shows, that LHQW herbal TCM treatment modulates the inflammatory process, exerts antiviral effects and repairs lung injury and gives a rational pharmacological basis for treating COVID-19 and possibly other diseases with L HQW.
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Traditional Chinese medicine formulas, extracts, and compounds promote angiogenesis.
TL;DR: This review summarizes the pro-angiogenic activity and the mechanism of TCM formulas, extracts, and compounds and delivers an in-depth understanding of the relationship between TCM and pro-ANGiogenesis and will provide new ideas for clinical practice.
References
More filters
Journal ArticleDOI
Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
Paul Shannon,Andrew Markiel,Owen Ozier,Nitin S. Baliga,Jonathan T. Wang,Daniel Ramage,Nada Amin,Benno Schwikowski,Trey Ideker +8 more
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
STRING v10: protein–protein interaction networks, integrated over the tree of life
Damian Szklarczyk,Andrea Franceschini,Stefan Wyder,Kristoffer Forslund,Davide Heller,Jaime Huerta-Cepas,Milan Simonovic,Alexander Roth,Alberto Santos,Kalliopi Tsafou,Michael Kuhn,Peer Bork,Lars Juhl Jensen,Christian von Mering +13 more
TL;DR: H hierarchical and self-consistent orthology annotations are introduced for all interacting proteins, grouping the proteins into families at various levels of phylogenetic resolution in the STRING database.
Journal ArticleDOI
Can the pharmaceutical industry reduce attrition rates
Ismail Kola,John Landis +1 more
TL;DR: The pharmaceutical industry faces considerable challenges, both politically and fiscally, and the fiscal pressures that face the industry from the perspective of R&D are dealt with.
Journal ArticleDOI
DrugBank: a comprehensive resource for in silico drug discovery and exploration
David S. Wishart,Craig Knox,An Chi Guo,Savita Shrivastava,Murtaza Hassanali,Paul Stothard,Zhan Chang,Jennifer Woolsey +7 more
TL;DR: DrugBank is a unique bioinformatics/cheminformatics resource that combines detailed drug data with comprehensive drug target information and is fully searchable supporting extensive text, sequence, chemical structure and relational query searches.
Journal ArticleDOI
ChEMBL: a large-scale bioactivity database for drug discovery
Anna Gaulton,Louisa J. Bellis,A. Patrícia Bento,Jon Chambers,Mark Davies,Anne Hersey,Yvonne Light,Shaun McGlinchey,David Michalovich,Bissan Al-Lazikani,John P. Overington +10 more
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.