AmyloGraph

AmyloGraph compiles a curated database of 883 experimentally studied interactions among 46 amyloid proteins or peptides to support analysis of fibrillization, cross-seeding, and related amyloid–amyloid phenomena.

Key Features:

• Curated dataset: Contains 883 experimentally studied interactions derived from nearly 200 publications selected from an initial pool of 562, involving 46 distinct amyloid proteins or peptides.
• Centralized data repository: Aggregates and standardizes data on amyloid-amyloid interactions relevant to fibrillization processes associated with Alzheimer's and Parkinson's disease.
• Standardized terminology: Implements a novel terminology categorizing interaction types such as inhibition of fibrillization and cross-seeding to enable consistent descriptions across studies.
• R package: Provides programmatic access to the dataset via an R package for integration into bioinformatics analyses.

Scientific Applications:

• Pathogenesis research: Supports studies of mechanisms underlying amyloid-related diseases by providing experimentally determined interaction data.
• Mechanistic analysis: Enables investigation of processes that inhibit or promote fibrillization and cross-seeding between amyloid species.
• Therapeutic research: Informs exploration of intervention strategies targeting amyloid-amyloid interactions.

Methodology:

Data were obtained through rigorous manual curation and a comprehensive literature review selecting publications with experimentally validated amyloid-amyloid interactions, and curated records were organized using the proposed standardized terminology.