AMYLPRED

AMYLPRED predicts amyloidogenic regions in proteins from primary amino-acid sequence to provide consensus-based identification of aggregation-prone stretches relevant to amyloid fibril formation.

Key Features:

• Consensus prediction: Integrates five independently published sequence-based prediction algorithms to produce a consensus identification of amyloidogenic regions.
• Primary structure input: Operates solely on protein primary (amino-acid) sequence data for sequence-based prediction.
• Identification of novel determinants: Flags previously unreported peptide stretches predicted to be amyloidogenic for experimental follow-up.
• Surface localization assessment: Predictions and experimentally validated determinants have been analyzed for surface exposure using DSSP and molecular graphics programs.

Scientific Applications:

• Protein misfolding research: Maps aggregation-prone regions to support studies of amyloidoses and amyloid fibril formation mechanisms.
• Experimental prioritization: Prioritizes candidate peptide stretches for biochemical and biophysical validation of amyloidogenicity.
• Therapeutic target identification: Guides identification of sequence regions that may serve as targets for strategies to inhibit amyloid formation.

Methodology:

AMYLPRED applies five distinct published sequence-based prediction algorithms in tandem to generate a consensus from the primary amino-acid sequence; predictions have been corroborated using molecular graphics programs O and PyMOL and the DSSP algorithm.