Herbal medicines are frequently blended in the form of multi-drug combinations primarily based on the precept of medicinal compatibility, to achieve the purpose of treating diseases. However, due to the lack of appropriate techniques and the multi-component and multi-target nature of Chinese medicine compounding, it is tough to explain how the drugs interact with each other. As a rising discipline, cyber pharmacology has formed a new approach characterized by using holistic and systematic "network targets" via the cross-fertilization of computer technology, bioinformatics, and different multidisciplinary disciplines. It can broadly screen the active ingredients of traditional Chinese medicine, enhance the effective utilization of drugs, and elucidate the mechanism of drug action. We will overview the principles of Chinese medicine compounding and dispensing, the research methods of network pharmacology, and the software of network pharmacology in the lookup of compounded Chinese medicines, aiming to supply thoughts for the better application of network pharmacology in the research of Chinese medicines.
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http://dx.doi.org/10.1007/s12064-024-00419-2 | DOI Listing |
Viruses
December 2024
Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, Rua da Junqueira 100, 1349-008 Lisboa, Portugal.
The high genetic variability of HIV-1 and the emergence of transmitted drug resistance (TDR) can impact treatment efficacy. In this study, we investigated the prevalent HIV-1 genotypes and drug-resistance-associated mutations in drug-naïve HIV-1 individuals in Cabo Verde. The study, conducted between 2018 and 2019, included drug-naïve HIV-1 individuals from the São Vicente, Boa Vista, Fogo, and Santiago islands.
View Article and Find Full Text PDFPharmaceutics
December 2024
PharmaMar S.A., Clinical Pharmacology Department, Clinical Development, 28770 Madrid, Spain.
: Pathophysiological variability in patients with cancer is associated with differences in responses to pharmacotherapy. In this work, we aimed to describe the demographic characteristics and hematological, biochemical, and coagulation variables in a large oncology cohort and to develop, optimize, and provide open access to modeling equations for the estimation of variables potentially relevant in pharmacokinetic modeling. : Using data from 1793 patients with cancer, divided into training ( = 1259) and validation ( = 534) datasets, a modeling network was developed and used to simulate virtual oncology populations.
View Article and Find Full Text PDFToxics
December 2024
Hebei Key Laboratory of Environment and Human Health, Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Shijiazhuang 050017, China.
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View Article and Find Full Text PDFNutrients
December 2024
Department of Emergency Medicine, Natural and Biomimetic Medicine Research Center, Tissue-Orientated Property of Chinese Medicine Key Laboratory of Sichuan Province, West China School of Medicine, West China Hospital, Sichuan University, Chengdu 610000, China.
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View Article and Find Full Text PDFNutrients
December 2024
Food Chemistry and Nutraceutical Laboratory, Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum-University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy.
Background: Three herbal extracts ( Willd., Lorentz, and L.) were mixed with three essential oils ( Mill.
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