AI Article Synopsis
- The Target-Based Virtual Screening method helps scientists find new medicines for diseases like Diabetes by using computer techniques.
- This review looked at many studies to see which targets are used in research for treating Diabetes and followed certain guidelines to ensure accuracy.
- It found that some important targets mentioned often are GLUT4, DPP-IV, and PPARγ, showing that there are various ways to approach treating Diabetes.
Article Abstract
The Target-Based Virtual Screening approach is widely employed in drug development, with docking or molecular dynamics techniques commonly utilized for this purpose. This systematic review (SR) aimed to identify in silico therapeutic targets for treating Diabetes mellitus (DM) and answer the question: What therapeutic targets have been used in in silico analyses for the treatment of DM? The SR was developed following the guidelines of the Preferred Reporting Items Checklist for Systematic Review and Meta-Analysis, in accordance with the protocol registered in PROSPERO (CRD42022353808). Studies that met the PECo strategy (Problem, Exposure, Context) were included using the following databases: Medline (PubMed), Web of Science, Scopus, Embase, ScienceDirect, and Virtual Health Library. A total of 20 articles were included, which not only identified therapeutic targets in silico but also conducted in vivo analyses to validate the obtained results. The therapeutic targets most frequently indicated in in silico studies were GLUT4, DPP-IV, and PPARγ. In conclusion, a diversity of targets for the treatment of DM was verified through both in silico and in vivo reassessment. This contributes to the discovery of potential new allies for the treatment of DM.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11394750 | PMC |
| http://dx.doi.org/10.3390/ijms25179213 | DOI Listing |
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