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@article{186473,
        author = {Tanvi Jadhav and Abhishek Das},
        title = {In Silico Drug Designing and Molecular Docking Analysis of Modified Drug Analogues Against SLC18A2 Protein Target Expressed in Huntington’s Disease},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {206-215},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186473},
        abstract = {Huntington's disease (HD) is a progressive, genetic neurodegenerative disorder characterised by motor, cognitive, and psychiatric symptoms. The disease is caused by the expansion of CAG repeats in the HTT gene; however, other genetic factors, including the SLC18A2 gene, which encodes vesicular monoamine transporter 2 (VMAT2), also play a role in disease pathology. Current treatments primarily manage symptoms without addressing the underlying neurodegeneration. This study explores the potential of targeting VMAT2 in drug design for HD. Using computational tools such as Open Targets, Swiss-Model, PrankWeb, DrugBank, ProTox, and PyMol, we identified active sites on VMAT2, screened potential drug candidates, and performed molecular docking. Our research suggests that targeting VMAT2 could be a promising strategy for treating Huntington's disease. We identified several potential drug analogues, which show strong potential to bind effectively to VMAT2 and could lead to improved treatments for HD. This approach has the potential to significantly enhance patient outcomes and quality of life by addressing the root causes of the disease. Further laboratory testing will help confirm these findings and advance the development of new therapies.},
        keywords = {Active sites, drug analogue, drug designing, molecular docking, Protein target.},
        month = {},
        }