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Targeting protein misfolding and aggregation in neurodegenerative diseases: challenges for the identification and validation of targets for small molecules.

Targeting protein misfolding and aggregation in neurodegenerative diseases: challenges for the identification and validation of targets for small molecules.

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New Delhi, IN · Author affiliation

Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
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Original abstract

INTRODUCTION: Neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and related proteinopathies are characterized by the misfolding, aggregation, and accumulation of specific proteins that disrupt neuronal homeostasis, leading to neuronal death. Despite major advances in structural biology and molecular neuroscience, identifying and validating druggable targets in neurodegenerative diseases remains challenging. Many involved proteins are intrinsically disordered, exhibit conformational heterogeneity, and form highly dynamic toxic species. AREAS COVERED: This review summarizes the mechanisms of protein folding, misfolding, aggregation, and prion-like propagation in major neurodegenerative proteinopathies, including amyloid-beta and tau in Alzheimer's disease, alpha-synuclein in synucleinopathies, TDP-43 and FUS in ALS/FTLD, polyglutamine-expanded proteins, prion proteins, and rare hereditary amyloidosis. We also discuss major barriers to target identification and validation, including conformational flexibility, oligomer toxicity, blood-brain barrier penetration, and target engagement complexity. Finally, we highlight emerging strategies integrating structural biology, computational methods, and improved experimental models to discover small-molecule inhibitors for neurodegenerative diseases. EXPERT OPINION: Effective therapeutic discovery will require moving beyond single-target models toward ensemble-based validation strategies. Integrating structural biology, advanced imaging, biomarkers, and computational approaches may improve the identification of druggable targets and support precision-medicine-based interventions for neurodegenerative diseases.

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