This open-access repository presents the Alpha-Synuclein Degradome Foundation Atlas. The Atlas provides a high-resolution, well-annotated dataset of proteolytic α-synuclein fragments with full amino acid sequences and detailed biochemical metadata.Alpha-synuclein is a key protein in the pathogenesis of Parkinson’s disease (PD), multiple system atrophy (MSA), and dementia with Lewy bodies (DLB). The dataset includes degradation profiles for both wild-type and clinically relevant α-synuclein variants, making it suitable not only for classical biomarker discovery but also as a training and benchmarking resource for AI-driven approaches in neurodegeneration.Whether your work involves biomarker development, precision neurology, or machine learning, this dataset provides structured, labelled inputs that are ideal for:Training supervised models to detect or predict cleavage sitesFeature extraction from protein sequencesClustering or classification of fragment types by mutation or disease contextIntegrating with omics data for multimodal prediction tasksDataset Features:Annotated α-synuclein proteolytic fragmentsIncludes wild-type and clinically relevant variantsTab-delimited ASCII format for compatibility with Python, R, and ML frameworksLinked SAS and Python scripts for pipeline reproducibility and updatesReady-to-use for computational modelling, AI training, and bioinformatics workflowsThe dataset was generated using a reproducible codes involving Python, BLAST, and SAS. All scripts are provided and fully documented in the accompanying publication [1] and dataset/code repositories [2,3].This Atlas is ideal for researchers in neuroscience, proteomics, bioinformatics, and AI who are building tools to understand, predict, and intervene in protein degradation pathways relevant to human disease.References:Petzold A. Proteolysis-Based Biomarker Repertoire of the Neurofilament Proteome. J Neurochem. 2025;169(3):e70023. https://doi.org/10.1111/jnc.70023Petzold, Axel (2024). Neurofilament Degradome Atlas (NDA). University College London. Dataset. https://doi.org/10.5522/04/25689378.v1Petzold, Axel (2025). GFAP Degradome Foundation Atlas. University College London. Dataset. https://doi.org/10.5522/04/28288136.v1