TLDR Drug repositioning can save time and money but needs more support.
The document analyzes drug repositioning, which finds new uses for existing drugs, highlighting its role in speeding up drug development and cutting costs. Using bibliometric tools, the study examined 3,814 documents, identifying the U.S., China, and India as leaders in the field. Notable repositioned drugs include Sildenafil and Minoxidil. The study emphasizes the impact of SARS-CoV-2 on research trends, with most top-cited articles related to the virus, and highlights the use of bioinformatics and deep learning in drug discovery. Drug repositioning extends beyond viral infections to diseases like cancer and osteoporosis, with pathways such as serendipitous discoveries. Challenges include patenting issues and funding needs, and future research should integrate clinical data and explore repositioning's potential further.
8 citations
,
January 2020 in “Journal of Cutaneous Medicine and Surgery” Oral minoxidil may improve hair loss in men and women, but has some side effects.
24 citations
,
December 2009 in “Future Medicinal Chemistry” Using computers to analyze drugs can find new uses for them, but actual experiments are needed to confirm these uses.
397 citations
,
February 2004 in “British Journal of Dermatology” Minoxidil boosts hair growth by opening potassium channels and increasing cell activity.
18 citations
,
January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.
January 2025 in “PROTEOMICS” Drug repositioning is a promising way to quickly develop new treatments, especially for rare diseases.
December 2022 in “International Journal of Molecular Sciences” Afatinib, neratinib, and zanubrutinib could be effective against KRASG12C-mutant tumors.
158 citations
,
January 2015 in “Artificial Intelligence in Medicine” DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
39 citations
,
December 2018 in “Methods in molecular biology” The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.