Future directions for the discovery of natural product-derived immunomodulating drugs: an IUPHAR positional review DOI Creative Commons
Cherry L. Wainwright, Mauro Martins Teixeira, David L. Adelson

et al.

Pharmacological Research, Journal Year: 2022, Volume and Issue: 177, P. 106076 - 106076

Published: Jan. 21, 2022

Drug discovery from natural sources is going through a renaissance, having spent many decades in the shadow of synthetic molecule drug discovery, despite fact that product-derived compounds occupy much greater chemical space than those created chemistry methods. With this new era comes possibilities, not least novel targets have emerged recent times and development state-of-the-art technologies can be applied to sources. Although progress has been made with some immunomodulating drugs, there remains pressing need for agents used treat wide variety conditions arise disruption, or over-activation, immune system; products may therefore key filling gap. Recognising that, at present, no authoritative article details current immunomodulatory activity products, in-depth review arisen joint effort between International Union Basic Clinical Pharmacology (IUPHAR) Natural Products Immunopharmacology Sections, contributions number world-leading researchers field product provide "position statement" on what offer search argents. To end, we historical look previous discoveries naturally occurring immunomodulators, present picture status insight into future opportunities challenges drugs immune-related diseases.

Language: Английский

Network pharmacology, a promising approach to reveal the pharmacology mechanism of Chinese medicine formula DOI
Li Zhao, Hong Zhang, Ning Li

et al.

Journal of Ethnopharmacology, Journal Year: 2023, Volume and Issue: 309, P. 116306 - 116306

Published: Feb. 27, 2023

Language: Английский

Citations

390
Applications of Network Pharmacology in Traditional Chinese Medicine Research DOI Creative Commons
Zhuchen Zhou, Bing Chen, Simiao Chen

et al.

Evidence-based Complementary and Alternative Medicine, Journal Year: 2020, Volume and Issue: 2020(1)

Published: Jan. 1, 2020

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

Language: Английский

Citations

268
Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of Huanglian Jiedu Decoction against sepsis DOI
Li Xing,

Shizhang Wei,

Shengqi Niu

et al.

Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 144, P. 105389 - 105389

Published: March 9, 2022

Language: Английский

Citations

265
Plant-derived natural products for drug discovery: current approaches and prospects DOI Open Access

Noohi Nasim,

I. Sriram Sandeep,

Sujata Mohanty

et al.

The Nucleus, Journal Year: 2022, Volume and Issue: 65(3), P. 399 - 411

Published: Oct. 18, 2022

Language: Английский

Citations

249
Network Pharmacology Approach for Medicinal Plants: Review and Assessment DOI Creative Commons
Fatima Noor, Muhammad Tahir ul Qamar, Usman Ali Ashfaq

et al.

Pharmaceuticals, Journal Year: 2022, Volume and Issue: 15(5), P. 572 - 572

Published: May 4, 2022

Natural products have played a critical role in medicine due to their ability bind and modulate cellular targets involved disease. Medicinal plants hold variety of bioactive scaffolds for the treatment multiple disorders. The less adverse effects, affordability, easy accessibility highlight potential traditional remedies. Identifying pharmacological from active ingredients medicinal has become hot topic biomedical research generate innovative therapies. By developing an unprecedented opportunity systematic investigation medicines, network pharmacology is evolving as paradigm becoming frontier field drug discovery development. advancement opened up new avenues understanding complex components found various plants. This study attributed comprehensive summary based on current research, highlighting ingredients, related techniques/tools/databases, development applications. Moreover, this would serve protocol discovering novel compounds explore full range biological traditionally used We attempted cover vast review form. hope it will significant pioneer researchers working with by employing approaches.

Language: Английский

Citations

240
A comprehensive application: Molecular docking and network pharmacology for the prediction of bioactive constituents and elucidation of mechanisms of action in component-based Chinese medicine DOI
Xinyi Jiao, Xin Jin, Yuanyuan Ma

et al.

Computational Biology and Chemistry, Journal Year: 2020, Volume and Issue: 90, P. 107402 - 107402

Published: Dec. 3, 2020

Language: Английский

Citations

162
The Methodological Trends of Traditional Herbal Medicine Employing Network Pharmacology DOI Creative Commons
Won-Yung Lee,

Choong-Yeol Lee,

Youn-Sub Kim

et al.

Biomolecules, Journal Year: 2019, Volume and Issue: 9(8), P. 362 - 362

Published: Aug. 13, 2019

Natural products, including traditional herbal medicine (THM), are known to exert their therapeutic effects by acting on multiple targets, so researchers have employed network pharmacology methods decipher the potential mechanisms of THM. To conduct THM-network (THM-NP) studies, different tools and databases for constructing analyzing herb–compound–target networks. In this study, we attempted capture methodological trends in THM-NP research. We identified studies visualized combinatorial patterns. also constructed co-author affiliation networks further understand how methodologies among researchers. The results showed that number databases/tools been dramatically increased last decade, there characteristic patterns combining each analysis step studies. Overall, Traditional Chinese Medicine Systems Pharmacology Database Analysis Platform (TCMSP) was most frequently database Among processes involved research, methodology a compound–target has shown greatest change over time. summary, our describes comprehensive current ideas research design

Language: Английский

Citations

160
Integration strategy of network pharmacology in Traditional Chinese Medicine: a narrative review. DOI

W U Jiashuo,

Fangqing Zhang,

Liu Zhuangzhuang

et al.

PubMed, Journal Year: 2022, Volume and Issue: 42(3), P. 479 - 486

Published: June 1, 2022

Language: Английский

Citations

128
Machine learning for synergistic network pharmacology: a comprehensive overview DOI
Fatima Noor,

Muhammad Asif,

Usman Ali Ashfaq

et al.

Briefings in Bioinformatics, Journal Year: 2023, Volume and Issue: 24(3)

Published: April 6, 2023

Abstract Network pharmacology is an emerging area of systematic drug research that attempts to understand actions and interactions with multiple targets. has changed the paradigm from ‘one-target one-drug’ highly potent ‘multi-target drug’. Despite that, this synergistic approach currently facing many challenges particularly mining effective information such as targets, mechanism action, organism interaction massive, heterogeneous data. To overcome bottlenecks in multi-target discovery, computational algorithms are welcomed by scientific community. Machine learning (ML) especially its subfield deep (DL) have seen impressive advances. Techniques developed within these fields now able analyze learn huge amounts data disparate formats. In terms network pharmacology, ML can improve discovery decision making big Opportunities apply occur all stages research. Examples include screening biologically active small molecules, target identification, metabolic pathways protein–protein analysis, hub gene analysis finding binding affinity between compounds proteins. This review summarizes premier algorithmic concepts forecasts future opportunities, potential applications well several remaining implementing pharmacology. our knowledge, study provides first comprehensive assessment approaches we hope it encourages additional efforts toward development acceptance pharmaceutical industry.

Language: Английский

Citations

80
Wumei Wan attenuates angiogenesis and inflammation by modulating RAGE signaling pathway in IBD: Network pharmacology analysis and experimental evidence DOI Creative Commons

Zheng-lan Duan,

Yuji Wang, Zhihua Lü

et al.

Phytomedicine, Journal Year: 2023, Volume and Issue: 111, P. 154658 - 154658

Published: Jan. 12, 2023

Wumei Wan (WMW) has been used to address digestive disorder for centuries in traditional Chinese medicine. Previous studies have demonstrated its anti-colitis efficacy, but the underlying mechanism of action remains be further clarified.To investigate mechanisms WMW treatment chronic ulcerative colitis (UC) through network pharmacology and experimental validation.Traditional Medicine Systems Pharmacology (TCMSP) platform were identify ingredients potential targets WMW. The microarray gene data GSE75214 datasets from GEO database was define UC-associated targets. Cytoscape3.7.2 employed construct protein-protein interaction (PPI) compounds-disease network. GO enrichment analysis KEGG pathway performed by R software functional annotation. UPLC-TOF-MS/MS method quantitatively analyze active For validation, three cycles 2% dextran sulfate sodium salt (DSS) model. hub signal detected qPCR, ELISA, western blotting , immunohistochemical immunofluorescence.Through analysis, 104 obtained WMW, 47 these had UC. A total 41 13 identified. showed that involved advanced glycation end products-receptor products (AGE-RAGE) signaling pathway. Taxifolin, rutaecarpine, kaempferol, quercetin, luteolin more highly predictive components related AGE-RAGE In vivo improved DSS-induced colitis, reduced expression inflammatory cytokines chemokines. Notably, it significantly decreased mRNA Spp1, Serpine1, Mmp2, Mmp9, Ptgs2, Nos2, Kdr Icam1, which associated with angiogenesis. addition, we confirmed inhibited RAGE diminished epithelial barrier alterations CONCLUSION: Our results initially effective strong anti-angiogenic activity colitis. Sufficient evidence satisfactory verified this study, suggesting as a quite prospective agent therapy

Language: Английский

Citations

66