Drug repurposing aims to find new uses for already existing and approved drugs. We now provide a brief overview of recent developments in drug repurposing using machine learning alongside other computational approaches for comparison. We also highlight several applications for cancer using kinase inhibitors, Alzheimer's disease as well as COVID-19.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671152 | PMC |
| http://dx.doi.org/10.1016/j.cbpa.2021.06.001 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multi-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasis.
J Transl Med
January 2025
Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
Background: Psoriasis is a common chronic, recurrent, immune-mediated disease involved in the skin or joints or both. However, deeper insight into the genetic susceptibility of psoriasis is still unclear.
Methods: Here we performed the largest multi-ancestry meta-analysis of genome-wide association study including 28,869 psoriasis cases and 443,950 healthy controls.
Integrated analysis of proteome and transcriptome profiling reveals pan-cancer-associated pathways and molecular biomarkers.
Mol Cell Proteomics
January 2025
State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiang'an South Road, Xiamen, Fujian 361102, China; Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiang'an South Road, Xiamen, Fujian 361102, China; Xiang An Biomedicine Laboratory, School of Pharmaceutical Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiang'an South Road, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiang'an South Road, Xiamen, Fujian 361102, China. Electronic address:
Understanding dysregulated genes and pathways in cancer is critical for precision oncology. Integrating mass spectrometry-based proteomic data with transcriptomic data presents unique opportunities for systematic analyses of dysregulated genes and pathways in pan-cancer. Here, we compiled a comprehensive set of datasets, encompassing proteomic data from 2,404 samples and transcriptomic data from 7,752 samples across 13 cancer types.
View Article and Find Full Text PDFIUPHAR review: Drug Repurposing in Schizophrenia - An Updated Review of Clinical Trials.
Pharmacol Res
January 2025
Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK. Electronic address:
There is an urgent need for mechanistically novel and more efficacious treatments for schizophrenia, especially those targeting negative and cognitive symptoms with a more favorable side-effect profile. Drug repurposing-the process of identifying new therapeutic uses for already approved compounds-offers a promising approach to overcoming the lengthy, costly, and high-risk process of traditional CNS drug discovery. This review aims to update our previous findings on the clinical drug repurposing pipeline in schizophrenia.
View Article and Find Full Text PDFExPDrug: Integration of an interpretable neural network and knowledge graph for pathway-based drug repurposing.
Comput Biol Med
January 2025
Department of Computer Engineering, Chungbuk National University, Cheongju, Republic of Korea. Electronic address:
Precision medicine aims to provide personalized therapies by analyzing patient molecular profiles, often focusing on gene expression data. However, effectively linking these data to actionable drug discovery for clinical application remains challenging. In this paper, we introduce ExPDrug, a neural network (NN) model that integrates biological pathways from transcriptomic data with a biomedical knowledge graph to facilitate pathway-based drug repurposing.
View Article and Find Full Text PDFXOR-Derived ROS in Tie2-Lineage Cells Including Endothelial Cells Promotes Aortic Aneurysm Progression in Marfan Syndrome.
Arterioscler Thromb Vasc Biol
January 2025
Department of Cardiovascular Medicine, The University of Tokyo, Bunkyo-ku, Japan. (H. Yagi, H.A., Q.L., A.S.-K., M.U., H.K., R.M., A.S., S.O., H.T., Norifumi Takeda, I.K.).
Background: Marfan syndrome (MFS) is an inherited disorder caused by mutations in the gene encoding fibrillin-1, a matrix component of extracellular microfibrils. The main cause of morbidity and mortality in MFS is thoracic aortic aneurysm and dissection, but the underlying mechanisms remain undetermined.
Methods: To elucidate the role of endothelial XOR (xanthine oxidoreductase)-derived reactive oxygen species in aortic aneurysm progression, we inhibited in vivo function of XOR either by endothelial cell (EC)-specific disruption of the gene or by systemic administration of an XOR inhibitor febuxostat in MFS mice harboring the missense mutation p.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!