bioRxivNeurosciencePreprint
Mechanism of clinically relevant neurosecretory and metabolic impairment in Alzheimers and identification of engineered nanotherapy
Yutong ShangiD, Won Jin ChoiD, Seeya Awadhut Munj, Siddhartha G. JenaiD, Suzan ArslanturkiD, Sachinkumar PatiliD, Xin QiiD, Bhanu P. JenaiD
Abstract
A central challenge in Alzheimers disease is understanding the mechanism of neuronal secretory dysfunction. By exploiting AI, we reveal how beta-amyloid disrupts key protein interactions within the neuronal secretory machinery. In a combinatorial strategy of reprogramming the neuronal secretory and metabolic components, we established a dual-target therapeutic framework that repairs synaptic and mitochondrial defects to counteract neurodegeneration in Alzheimers.
- organism: human
- research focus: drug response / drug discovery
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 1
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