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Cracking the code of amyloid polymorphism: Integrating cryoEM and machine learning to unravel impact of small aggregation modulators on amyloid fibril polymorphism

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Cracking the code of amyloid polymorphism: Integrating cryoEM and machine learning to unravel impact of small aggregation modulators on amyloid fibril polymorphism Neurodegenerative diseases such as Alzheimer's (AD), Parkinson’s (PD), and prion-related disorders pose major global health challenges due to their progressive nature and lack of effective treatments. Central to these conditions is the misfolding and aggregation of proteins into amyloid structures, which cause severe cellular damage. Despite advances in understanding amyloid aggregation, the role of structural polymorphism in these processes remains underexplored. This proposal aims to address this gap by investigating amyloid aggregation modulators and their effects on aggregation kinetics and polymorphism. The project has five main objectives: 1. Data Collection on agregation modulators: Systematically gather and curate data on known modulators that impact amyloid aggregation, focusing on

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recordType

award

status

SIGNED

region

EU

value

181136.16

unit

EUR