Series-1 (Sep. – Oct. 2026) Sep. – Oct. 2026 Issue Statistics
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| Paper Type | : | Research Paper |
| Title | : | Artificial Intelligence-Driven Multi-Omics and Molecular Docking Approaches for Therapeutic Target Identification in Huntington’s Disease |
| Country | : | India |
| Authors | : | Vineeta Johri || Uma Kumari |
 |
: | 10.9790/ 264X-12050113  |
Abstract: Huntington's Disease (HD) is a rare, autosomal dominant neurodegenerative disorder marked by progressive motor problems, cognitive decline, and psychiatric symptoms, and the cause of this disease is an irregular expansion of CAG trinucleotide repeats, which are present in the huntingtin (HTT) gene. This gene encodes a mutant huntingtin protein, mHTT, with an extended polyglutamine segment. This defective and abnormal protein misfolds and aggregates, leading to neuronal dysfunction and selective neurodegeneration, primarily in the striatum and....
Keywords: Huntington’s disease, Artificial intelligence, multi-omics integration, Molecular docking, Neurodegeneration, biomarker discovery, machine learning, drug discovery, systems biology. Precision medicine
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