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Updated: Aug 9, 2026

Amyloid and the Cross-Beta Architecture
Published on: February 13, 2026
Interaction-based evaluation of the propensity for amyloid formation with cross-beta structure
Masatoshi Saiki1, Takeo Konakahara, Hisayuki Morii
1National Institute of Advanced Industrial Science and Technology (AIST), AIST Central 6, Tsukuba, Ibaraki 305-8566, Japan.
A new prediction method identifies amino acid sequences prone to forming amyloid fibrils. This method accurately predicts amyloid structures based on specific interaction conditions, aiding in understanding amyloidogenicity.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Biology
Background:
- Amyloid fibrils are associated with various diseases.
- Understanding the sequence requirements for amyloid formation is crucial for disease research.
Purpose of the Study:
- To develop a novel prediction method for identifying amino acid sequences prone to forming amyloid fibrils.
- To validate a structural model for amyloidogenicity based on specific residue interactions.
Main Methods:
- Developed a prediction system based on a structural model of amyloids.
- Introduced two conditions: antiparallel beta-strand interactions along a fibril axis and line-matching hydrophobic interactions on protofibril faces.
- Evaluated peptide sequences using the developed scoring system.
Main Results:
- Peptides with high scores readily formed amyloid fibrils when combined with a turn-inducing structure.
- Low-scoring native sequences and modified sequences (null score) did not form amyloids.
- Predicted high-scoring regions aligned with known putative amyloid core regions.
Conclusions:
- The developed method accurately predicts amyloid structures and sequence propensity.
- The study supports the proposed structural model for amyloid formation.
- This predictive tool aids in understanding the molecular basis of amyloid diseases.
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