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Integrative Pharmacology-based Research on Traditional Medicine: Methodologies, Medical and Pharmacological Applications
ntegrative Pharmacology can be used to determine the multi-pharmacological effects of traditional medicines such as traditional Chinese medicine (TCM), Kampo, Sa-sang, Ayurveda, etc.). Through qualitative and quantitative pharmacokinetic-pharmacodynamic (PK-PD) correlations among multi-constituents and multi-targets, integrating chemical profiling, ADME/PK processes, molecular network calculation and resulting experimental validation, the use of Integrative Pharmacology has become widespread. The data has provided a novel paradigm to evaluate the druggability of bioactive ingredients of herbs or formulae, to decipher the pharmacological mechanisms of drug action and to screen potentially new indications for approved drugs and previously unidentified adverse events. On this basis, Integrative Pharmacology may offer an effective way to test the potential scientific basis for traditional medicines and to assess what roles of traditional medicine can and cannot play in pharmaceuticals.
Computational Methods in Biomedical Research
Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging computational statistical methods that are used in biomedical research. Written by active researchers in the field, this authoritative collection covers a wide range of topics. It introduces each topic at a basic level, before moving on to more advanced discussions of applications. The book begins with microarray data analysis, machine learning techniques, and mass...
Exploring Medical Biotechnology- in vivo, in vitro, in silico
This book on medical biotechnology offers a wide array of topics and cutting-edge research in the field featuring contributions from multiple authors, each specializing in their respective areas, making it highly valuable to science students and enthusiasts. The book provides comprehensive coverage on a diverse range of topics including sequence analysis, network pharmacology, drug discovery, CRISPR-Cas technology, precision medicine, neuroimaging biomarkers, therapeutics for neurodegenerative diseases, molecular pathogenesis of various diseases, plant-derived antioxidants, genetic approaches for disease diagnosis, cancer progression, immunotherapy, cancer biomarker identification, RNA Inter...
Network Pharmacology and Traditional Medicine
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
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Network Pharmacology
This book introduces “network pharmacology” as an emerging frontier subject of systematic drug research in the era of artificial intelligence and big data. Network Pharmacology is an original subject of fusion system biology, bioinformatics, network science and other related disciplines. It emphasizes on starting from the overall perspective of the system level and biological networks, the analysis of the laws of molecular association between drugs and their treatment objects, reveals the systematic pharmacological mechanisms of drugs, and guides the research and development of new drugs and clinical diagnosis and treatment. After it was proposed, network pharmacology has been paid atten...
Cooperative Coverage Control of Multi-Agent Systems and its Applications
This book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in various fields. A novel theoretical formulation of multi-agent coverage is proposed to fulfill the coverage task via divide-and-conquer scheme. By taking workload partition and sweeping operations simultaneously, a distributed sweep coverage algorithm of multi-agent systems is developed to cooperatively complete the workload on the given region, and its input-to-state stability is guaranteed in theory. Moreover, the coverage performance is evaluated by estimating the error between the actual coverage time and the optimal time. Three application scenarios are presented to demonstrate the advantages of cooperative coverage control approaches in missile interception, intelligent transportation systems and environment monitoring, respectively.
