Systematic search for a predictor for the clinical observables of alzheimer's disease
Title | Systematic search for a predictor for the clinical observables of alzheimer's disease |
Publication Type | Journal Article |
Year of Publication | 2021 |
Authors | Das, A |
Journal | Journal of Physical Chemistry B |
Volume | 125 |
Issue | 44 |
Pagination | 12177-12186 |
Date Published | NOV |
Type of Article | Article |
ISSN | 1520-6106 |
Abstract | One of the prevailing life-threatening incurable neurodegenerative diseases that are presently endangering human society as a whole, and hence, baffling the entire spectrum of the scientific and pharmaceutical world, is Alzheimer's disease (AD). AD is a manifestation of self-assembly of both wild-type (sporadic) and mutated (familial) forms of the amyloid-beta peptide, a proteolytic product of the amyloid precursor protein, where the self-assembly results in the genesis of pathogenic fibrillar aggregates. Currently prevailing diagnostic and hence therapeutic challenges originate from the unavailability of a specific predictor for clinical observables. The continuous emergence of novel pathogenic mutants with unpredictable phenotypes adds immensely to the nonspecific nature of the problem. The current research reports a simple physical parameter, the binding affinity of a protofilament to its protofibril, which predicts the clinical observables of familial AD with astounding accuracy and more importantly, without any adjustable parameters. |
DOI | 10.1021/acs.jpcb.1c06725 |
Type of Journal (Indian or Foreign) | Foreign |
Impact Factor (IF) | 2.991 |
Divison category:
Physical and Materials Chemistry
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