Frontiers in Pharmacology, 2021 Myocardial ischemia (MI) is one of the most common cardiovascular diseases with high incidence and mortality. Huang-Lian-Jie-Du-Tang (HLJDT) is a classic traditional Chinese prescription to clear “heat” and “poison”.
Li Li +8 more
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iMeta, 2022 DNA‐based biological ingredient identification and downstream pharmacology network analysis are commonly used in research for Traditional Chinese Medicine preparations (TCM formulas).
Pengshuo Yang +8 more
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Frontiers in Pharmacology, 2022 Network pharmacology was rapidly developed based on multidisciplinary holistic analysis of biological systems, which has become a popular tool in traditional Chinese medicine (TCM) research in recent years.
Shihao Zheng +5 more
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Personalized medicine : the impact on chemistry [PDF]
, 2010 An effective strategy for personalized medicine requires a major conceptual change in the development and application of therapeutics. In this article, we argue that further advances in this field should be made with reference to another conceptual shift,
Marsh, Andrew +3 more
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A network inference method for large-scale unsupervised identification of novel drug-drug interactions [PDF]
, 2013 Characterizing interactions between drugs is important to avoid potentially harmful combinations, to reduce off-target effects of treatments and to fight antibiotic resistant pathogens, among others.
Guimera, Roger, Sales-Pardo, Marta
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Biomarker-Drug and Liquid Biopsy Co-development for Disease Staging and Targeted Therapy: Cornerstones for Alzheimer's Precision Medicine and Pharmacology. [PDF]
, 2019 Systems biology studies have demonstrated that different (epi)genetic and pathophysiological alterations may be mapped onto a single tumor's clinical phenotype thereby revealing commonalities shared by cancers with divergent phenotypes.
Goetzl, Edward J +4 more
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A visual analysis of network pharmacology research trends
World Journal of Traditional Chinese Medicine, 2018 Objective: To understand the current situation of network pharmacology, and to analyze external and internal characteristics of literature, is of great significance for the development of network pharmacology in the future and its application in the ...
Shen Xiao +8 more
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Best practices to maximize the use and reuse of quantitative and systems pharmacology models: recommendations from the United Kingdom quantitative and systems pharmacology network [PDF]
, 2018 The lack of standardization in the way that quantitative and systems pharmacology (QSP) models are developed, tested, and documented hinders their reproducibility, reusability, and expansion or reduction to alternative contexts.
Amy Cheung, S. Y. +12 more
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How pharmacoepidemiology networks can manage distributed analyses to improve replicability and transparency and minimize bias [PDF]
, 2020 Several pharmacoepidemiology networks have been developed over the past decade that use a distributed approach, implementing the same analysis at multiple data sites, to preserve privacy and minimize data sharing.
Brown, Jeffrey S. +5 more
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The Complex Structure of the Pharmacological Drug–Disease Network [PDF]
Entropy, 2021 The complexity of drug–disease interactions is a process that has been explained in terms of the need for new drugs and the increasing cost of drug development, among other factors. Over the last years, diverse approaches have been explored to understand drug–disease relationships. Here, we construct a bipartite graph in terms of active ingredients and
Irene López-Rodríguez +3 more
openaire +3 more sources