EMERGING COMPUTATIONAL APPROACHES IN THE DEVELOPMENT OF BACE1 INHIBITORS FOR ALZHEIMER'S THERAPY: A REVIEW

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss. A key feature of AD is the accumulation of amyloid beta (Aβ) peptides in the form of extracellular plaques. The amyloid cascade hypothesis suggests that the pathogenesis of AD is initiated by the cleavage of amyloid precursor protein (APP) by β-site amyloid precursor protein cleaving enzyme 1 (BACE1). Numerous therapeutic approaches have been pursued to target BACE1 due to its crucial role in AD. However, the complexity of AD and the localization of BACE1 in the brain have posed challenges, leading to the failure of clinical trials and, in some cases, even exacerbating disease progression. Specifically, the blood–brain barrier (BBB) prevents the entry of many molecules, making BACE1 a difficult target to approach. Recent advancements in BACE1 therapy have shifted the focus from traditional enzyme inhibitor-based therapeutics to modulators, antibody therapy, and gene therapy. These approaches offer several advantages, including the ability to efficiently cross the BBB and provide targeted treatment. In this review, we explore the latest developments in modulators, antibody therapy, and gene therapy targeting BACE1 to combat AD. These approaches offer a promising avenue to mitigate the progression of AD and provide a novel therapeutic strategy.