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      Applications of Network Pharmacology in Traditional Chinese Medicine Research

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          Abstract

          Human diseases, especially infectious ones, have been evolving constantly. However, their treatment strategies are not developing quickly. Some diseases are caused by a variety of factors with very complex pathologies, and the use of a single drug cannot solve these problems. Traditional Chinese Medicine (TCM) medication is a unique treatment method in China. TCM formulae contain multiple herbs with multitarget, multichannel, and multilink characteristics. In recent years, with the flourishing development of network pharmacology, a new method for searching therapeutic drugs has emerged. The multitarget action in network pharmacology is consistent with the complex mechanisms of disease and drug action. Using network pharmacology to understand TCM is an emerging trend.

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          Most cited references53

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          Network pharmacology.

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            Online predicted human interaction database.

            High-throughput experiments are being performed at an ever-increasing rate to systematically elucidate protein-protein interaction (PPI) networks for model organisms, while the complexities of higher eukaryotes have prevented these experiments for humans. The Online Predicted Human Interaction Database (OPHID) is a web-based database of predicted interactions between human proteins. It combines the literature-derived human PPI from BIND, HPRD and MINT, with predictions made from Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster and Mus musculus. The 23,889 predicted interactions currently listed in OPHID are evaluated using protein domains, gene co-expression and Gene Ontology terms. OPHID can be queried using single or multiple IDs and results can be visualized using our custom graph visualization program. Freely available to academic users at http://ophid.utoronto.ca, both in tab-delimited and PSI-MI formats. Commercial users, please contact I.J. juris@ai.utoronto.ca http://ophid.utoronto.ca/supplInfo.pdf.
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              Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders.

              A Hamosh (2002)
              Online Mendelian Inheritance in Man (OMIM) is a comprehensive, authoritative and timely knowledgebase of human genes and genetic disorders compiled to support research and education in human genomics and the practice of clinical genetics. Started by Dr Victor A. McKusick as the definitive reference Mendelian Inheritance in Man, OMIM (www.ncbi.nlm.nih.gov/omim) is now distributed electronically by the National Center for Biotechnology Information (NCBI), where it is integrated with the Entrez suite of databases. Derived from the biomedical literature, OMIM is written and edited at Johns Hopkins University with input from scientists and physicians around the world. Each OMIM entry has a full-text summary of a genetically determined phenotype and/or gene and has numerous links to other genetic databases such as DNA and protein sequence, PubMed references, general and locus-specific mutation databases, approved gene nomenclature, and the highly detailed mapviewer, as well as patient support groups and many others. OMIM is an easy and straightforward portal to the burgeoning information in human genetics.
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                Author and article information

                Contributors
                Journal
                Evid Based Complement Alternat Med
                Evid Based Complement Alternat Med
                ECAM
                Evidence-based Complementary and Alternative Medicine : eCAM
                Hindawi
                1741-427X
                1741-4288
                2020
                14 February 2020
                14 February 2020
                : 2020
                : 1646905
                Affiliations
                1School of Life Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China
                2School of Basic Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China
                Author notes

                Academic Editor: Ronald Sherman

                Author information
                https://orcid.org/0000-0001-5096-3903
                https://orcid.org/0000-0002-2594-0918
                Article
                10.1155/2020/1646905
                7042531
                32148533
                8e74a052-445c-4b98-bd86-20c0bb7b6762
                Copyright © 2020 Zhuchen Zhou et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 November 2019
                : 8 January 2020
                : 20 January 2020
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 81473587
                Award ID: 81774230
                Funded by: Natural Science Foundation of Zhejiang Province
                Award ID: LR16H270001
                Categories
                Review Article

                Complementary & Alternative medicine
                Complementary & Alternative medicine

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