Journal of Ethnopharmacology, Journal Year: 2025, Volume and Issue: unknown, P. 119400 - 119400
Published: Jan. 1, 2025
Language: Английский
Acta Pharmaceutica Sinica B, Journal Year: 2022, Volume and Issue: 12(11), P. 4011 - 4039
Published: Aug. 27, 2022
Language: Английский
Citations
247
Briefings in Bioinformatics, Journal Year: 2023, Volume and Issue: 25(1)
Published: Nov. 22, 2023
Abstract Network pharmacology (NP) provides a new methodological perspective for understanding traditional medicine from holistic perspective, giving rise to frontiers such as Chinese network (TCM-NP). With the development of artificial intelligence (AI) technology, it is key NP develop network-based AI methods reveal treatment mechanism complex diseases massive omics data. In this review, focusing on TCM-NP, we summarize involved into three categories: relationship mining, target positioning and navigating, present typical application TCM-NP in uncovering biological basis clinical value Cold/Hot syndromes. Collectively, our review researchers with an innovative overview progress its TCM perspective.
Language: Английский
Citations
178
Chinese Journal of Natural Medicines, Journal Year: 2023, Volume and Issue: 21(5), P. 323 - 332
Published: May 1, 2023
Language: Английский
Citations
160
Trends in Pharmacological Sciences, Journal Year: 2023, Volume and Issue: 44(9), P. 561 - 572
Published: July 19, 2023
Disease modeling and target identification are the most crucial initial steps in drug discovery, influence probability of success at every step development. Traditional is a time-consuming process that takes years to decades usually starts an academic setting. Given its advantages analyzing large datasets intricate biological networks, artificial intelligence (AI) playing growing role modern identification. We review recent advances focusing on breakthroughs AI-driven therapeutic exploration. also discuss importance striking balance between novelty confidence selection. An increasing number AI-identified targets being validated through experiments several AI-derived drugs entering clinical trials; we highlight current limitations potential pathways for moving forward.
Language: Английский
Citations
140
Nature Reviews Molecular Cell Biology, Journal Year: 2024, Volume and Issue: 25(9), P. 701 - 719
Published: April 30, 2024
Language: Английский
Citations
117
Chinese Medicine, Journal Year: 2023, Volume and Issue: 18(1)
Published: Nov. 8, 2023
Abstract Network pharmacology can ascertain the therapeutic mechanism of drugs for treating diseases at level biological targets and pathways. The effective study traditional Chinese medicine (TCM) characterized by multi-component, multi-targeted, integrative efficacy, perfectly corresponds to application network pharmacology. Currently, has been widely utilized clarify physiological activity TCM. In this review, we comprehensively summarize in TCM reveal its potential verifying phenotype underlying causes diseases, realizing personalized accurate We searched literature using “TCM pharmacology” “network as keywords from Web Science, PubMed, Google Scholar, well National Knowledge Infrastructure last decade. origins, development, are closely correlated with which applied China thousands years. have same core idea promote each other. A well-defined research strategy several aspects research, including elucidation basis syndromes, prediction targets, screening active compounds, decipherment mechanisms diseases. However, factors limit application, such selection databases algorithms, unstable quality results, lack standardization. This review aims provide references ideas encourage precise use medicine.
Language: Английский
Citations
54
Phytomedicine, Journal Year: 2024, Volume and Issue: 128, P. 155258 - 155258
Published: Jan. 11, 2024
Language: Английский
Citations
46
Chinese Medicine, Journal Year: 2025, Volume and Issue: 20(1)
Published: Jan. 12, 2025
Abstract Network pharmacology plays a pivotal role in systems biology, bridging the gap between traditional Chinese medicine (TCM) theory and contemporary pharmacological research. enables researchers to construct multilayered networks that systematically elucidate TCM’s multi-component, multi-target mechanisms of action. This review summarizes key databases commonly used network pharmacology, including those focused on herbs, components, diseases, dedicated platforms for analysis. Additionally, we explore growing use TCM, citing literature from Web Science, PubMed, CNKI over past two decades with keywords like “network pharmacology”, “TCM “herb pharmacology”. The application TCM is widespread, covering areas such as identifying material basis efficacy, unraveling action, evaluating toxicity, safety, novel drug development. However, challenges remain, lack standardized data collection across insufficient consideration processed herbs Questions also persist regarding reliability study outcomes. aims offer valuable insights reference points guide future research precision pharmacology.
Language: Английский
Citations
6
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 2, 2025
Nasopharyngeal carcinoma (NPC) presents significant treatment challenges due to its complex etiology and late-stage diagnosis. The traditional Chinese medicine Selaginella doederleinii Hieron (S. doederleinii) has shown potentiality in NPC multi-target, multi-pathway anti-cancer mechanisms. First, we identified related target genes from databases like GeneCards, OMIM, DisGeNET, performed WGCNA analysis on the GSE53819 dataset identify several important gene modules NPC. Active components their targets S. were screened TCMSP other databases, identifying 32 overlapping genes. Gene Ontology (GO) Kyoto Encyclopedia of Genes Genomes (KEGG) pathway revealed that these are primarily involved critical biological processes protein phosphorylation cell cycle regulation. A protein–protein interaction network was constructed, cytoHubba six key (BCL2, MAPK14, ABCB1, PLK1, ATM, HMOX1). Kaplan–Meier immune infiltration further showed closely prognosis microenvironment patients. Single-cell RNA sequencing expression distribution across different types explored roles differentiation process malignant cells through pseudotime trajectory analysis. Molecular docking dynamics simulation results indicated Berberine-MAPK14 Matairesinol-PLK1 complexes have high binding affinity stability. Binding free energy calculations confirmed stability complexes. Based our comprehensive multi-level analysis, active may play a role multi-target synergistic effects.
Language: Английский
Citations
2
Molecules, Journal Year: 2022, Volume and Issue: 27(13), P. 4169 - 4169
Published: June 29, 2022
The conventional drug discovery approach is an expensive and time-consuming process, but its limitations have been overcome with the help of mathematical modeling computational design approaches. Previously, finding a small molecular candidate as against disease was very costly required long time to screen compound specific target. development novel targets candidates different diseases including emerging reemerging remains major concern necessitates therapeutic well early possible. In this regard, approaches for are advantageous due their fastest predictive ability cost-effectiveness features. Computer-aided (CADD) techniques utilize computer programs mathematics formulas comprehend interaction target drugs. Traditional methods determine small-molecule several limitations, CADD utilizes that require little accurately predict minimal cost. Therefore, review aims provide brief insight into identifying curing disease. comprehensive mainly focuses on biological prediction, structure-based ligand-based methods, docking, virtual screening, pharmacophore modeling, quantitative structure-activity relationship (QSAR) models, dynamics simulation, MM-GBSA/MM-PBSA along valuable database resources tools therapeutics This will researchers in way may open road effective drugs preventative measures future
Language: Английский
Citations
57