Associated Papers
AI-augmented prediction of high-risk PINK1 variants associated with Parkinson's disease: integrating multilayered bioinformatics, MD simulation, and deep learning.
Rehman HU et al.
Methods (san Diego, Calif.), 2025
Rethinking 'rare' PINK1 Parkinson's disease: A meta-analysis of geographical prevalence, phenotypic diversity, and α-synuclein pathology.
Yin EP et al.
Journal of Parkinson's Disease, 2025
Pooled-DNA target sequencing of Parkinson genes reveals novel phenotypic associations in Spanish population.
Diez-Fairen M et al.
Neurobiology of Aging, 2018
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