Amyloid proteins are believed to aggravate many neurodegenerative diseases, including Alzheimer's, Parkinson's and Type II diabetes. These mis-folded proteins contain beta-sheet rich regions that contribute to the protein's stability and initiate an aggregation process that results in the formation of large polymorphic structures known as fibrils. The study and analysis of these shapes and structures are crucial steps in determining novel therapeutic agents that could be used to impede aggregation or mechanisms to halt amyloid nucleation.

Fibrilizer is a computational tool to build polymorphic amyloid fibrils at an atomic level resolution and identify stability regions through point-wise mutations that decrease the amyloidogenicity of protein sequences while conserving their native folding properties.

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