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      A System-Level Investigation into the Mechanisms of Chinese Traditional Medicine: Compound Danshen Formula for Cardiovascular Disease Treatment

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          Abstract

          Compound Danshen Formula (CDF) is a widely used Traditional Chinese Medicine (TCM) which has been extensively applied in clinical treatment of cardiovascular diseases (CVDs). However, the underlying mechanism of clinical administrating CDF on CVDs is not clear. In this study, the pharmacological effect of CDF on CVDs was analyzed at a systemic point of view. A systems-pharmacological model based on chemical, chemogenomics and pharmacological data is developed via network reconstruction approach. By using this model, we performed a high-throughput in silico screen and obtained a group of compounds from CDF which possess desirable pharmacodynamical and pharmacological characteristics. These compounds and the corresponding protein targets are further used to search against biological databases, such as the compound-target associations, compound-pathway connections and disease-target interactions for reconstructing the biologically meaningful networks for a TCM formula. This study not only made a contribution to a better understanding of the mechanisms of CDF, but also proposed a strategy to develop novel TCM candidates at a network pharmacology level.

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          Most cited references62

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          Lethality and centrality in protein networks

          In this paper we present the first mathematical analysis of the protein interaction network found in the yeast, S. cerevisiae. We show that, (a) the identified protein network display a characteristic scale-free topology that demonstrate striking similarity to the inherent organization of metabolic networks in particular, and to that of robust and error-tolerant networks in general. (b) the likelihood that deletion of an individual gene product will prove lethal for the yeast cell clearly correlates with the number of interactions the protein has, meaning that highly-connected proteins are more likely to prove essential than proteins with low number of links to other proteins. These results suggest that a scale-free architecture is a generic property of cellular networks attributable to universal self-organizing principles of robust and error-tolerant networks and that will likely to represent a generic topology for protein-protein interactions.
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            Scale-free networks: a decade and beyond.

            For decades, we tacitly assumed that the components of such complex systems as the cell, the society, or the Internet are randomly wired together. In the past decade, an avalanche of research has shown that many real networks, independent of their age, function, and scope, converge to similar architectures, a universality that allowed researchers from different disciplines to embrace network theory as a common paradigm. The decade-old discovery of scale-free networks was one of those events that had helped catalyze the emergence of network science, a new research field with its distinct set of challenges and accomplishments.
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              Network pharmacology.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                4 September 2012
                : 7
                : 9
                : e43918
                Affiliations
                [1 ]Bioinformatics Center, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China
                [2 ]Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
                [3 ]School of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning, China
                [4 ]Lab of Pharmaceutical Resource Discovery, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, Liaoning, China
                Uni. of South Florida, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: YHW XXL LY LQH. Performed the experiments: XXL JNW HY YHW. Analyzed the data: XXL JNW HY YHW. Contributed reagents/materials/analysis tools: YL LY SLY. Wrote the paper: XXL XX XW HJY HYX SHT YHW LQH.

                Article
                PONE-D-12-04137
                10.1371/journal.pone.0043918
                3433480
                22962593
                4d44c2cf-ece8-4c17-98b8-c669b3f394b1
                Copyright @ 2012

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 February 2012
                : 27 July 2012
                Page count
                Pages: 16
                Funding
                This work was supported by the National Natural Science Fund of China (Grant No. 31170796), the Special Research Foundation for Traditional Chinese Medicine (Grant No. 200907001-5), as well as the Innovation Fund of Northwest A&F University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Biochemistry
                Computational Biology
                Systems Biology
                Genomics
                Systems Biology
                Chemistry
                Phytochemistry
                Phytopharmacology
                Medicine
                Cardiovascular
                Cardiovascular Pharmacology
                Complementary and Alternative Medicine
                Drugs and Devices
                Cardiovascular Pharmacology
                Drug Information
                Pharmacodynamics
                Theoretical Pharmacology

                Uncategorized
                Uncategorized

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