98%
921
2 minutes
20
In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood. In response, computational systems and network medicine tools have emerged to identify potential drug repurposing candidates. However, these tools often require complex installation and lack intuitive visual network mining capabilities. To tackle these challenges, we introduce Drugst.One, a platform that assists specialized computational medicine tools in becoming user-friendly, web-based utilities for drug repurposing. With just three lines of code, Drugst.One turns any systems biology software into an interactive web tool for modeling and analyzing complex protein-drug-disease networks. Demonstrating its broad adaptability, Drugst.One has been successfully integrated with 21 computational systems medicine tools. Available at https://drugst.one, Drugst.One has significant potential for streamlining the drug discovery process, allowing researchers to focus on essential aspects of pharmaceutical treatment research.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274948 | PMC |
Fundam Clin Pharmacol
October 2025
Postgraduate Program in Pharmaceutical Science, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil.
This review highlights the integration of drug repurposing and nanotechnology-driven delivery strategies as innovative approaches to enhance the antifungal activity of statins against mucosal candidiasis, providing a framework for future translational research and clinical application. The rising prevalence of antifungal resistance and virulence factors of Candida albicans underscore the limitations of current therapies. Statins, commonly used as lipid-lowering agents, have emerged as attractive repurposed drug candidates due to their ability to interfere with fungal ergosterol biosynthesis and Ras-mediated signaling pathways.
View Article and Find Full Text PDFInfect Dis Ther
September 2025
School of Biomedical Sciences, The Chinese University of Hong Kong (CUHK), Hong Kong SAR, China.
Introduction: The high mortality of Coronavirus Disease 2019 (COVID-19) highlights the need for safe and effective antiviral treatment. Small molecular antivirals (remdesivir, molnupiravir, nirmatrelvir/ritonavir) and immunomodulators (baricitinib, tocilizumab) have been developed or repurposed to suppress viral replication and ameliorate cytokine storms, respectively. Despite U.
View Article and Find Full Text PDFInt Immunopharmacol
September 2025
Interdisciplinary eye research institute (EYE-X Institute), Bengbu Medical University, Bengbu, Anhui, China; Anhui Provincial Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical University, Anhui, China. Electronic address:
Crohn's disease (CD) is a chronic inflammatory bowel condition that significantly impairs patients' quality of life. With no cure currently available, the need to discover novel biomarkers and develop effective therapeutic strategies is paramount. This study used a comprehensive machine learning approach to identify key predictive genes for CD, including S100A8, IGFBP5, CTSK, and S100P.
View Article and Find Full Text PDFBioinformatics
September 2025
The Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Motivation: Drug repositioning presents a streamlined and cost-efficient way to expand the range of therapeutic possibilities. Drugs with human genetic evidence are more likely to advance successfully through clinical trials towards FDA approval. Single gene-based drug repositioning methods have been implemented, but approaches leveraging a broad spectrum of molecular signatures remain underexplored.
View Article and Find Full Text PDFJ Cardiovasc Transl Res
September 2025
School of Bioengineering, Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, China.
Atherosclerosis remains a leading cause of cardiovascular disease and mortality worldwide, despite advancements in statin therapies. Here, we aimed to identify potential anti-atherosclerosis drugs by an integrated approach combining network medicine-based prediction with empirical validation. Among the top drugs predicted by the preferred algorithm, mesalazine─a drug traditionally used to treat inflammatory bowel disease, was selected for in vivo validation in ApoE mouse model of atherosclerosis.
View Article and Find Full Text PDF