<b>Alpha-Synuclein Degradome Foundation Atlas</b>

<p dir="ltr">This open-access repository presents the <b>Alpha-Synuclein Degradome Foundation Atlas. </b>The Atlas provides a high-resolution, well-annotated dataset of proteolytic α-synuclein fragments with full amino acid sequences and detailed biochemical metadata.</p><p dir="ltr">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.</p><p dir="ltr">Whether your work involves biomarker development, precision neurology, or machine learning, this dataset provides structured, labelled inputs that are ideal for:</p><ul><li>Training supervised models to detect or predict cleavage sites</li><li>Feature extraction from protein sequences</li><li>Clustering or classification of fragment types by mutation or disease context</li><li>Integrating with omics data for multimodal prediction tasks</li></ul><p dir="ltr">Dataset Features:</p><ul><li>Annotated α-synuclein proteolytic fragments</li><li>Includes wild-type and clinically relevant variants</li><li>Tab-delimited ASCII format for compatibility with Python, R, and ML frameworks</li><li>Linked SAS and Python scripts for pipeline reproducibility and updates</li><li>Ready-to-use for computational modelling, AI training, and bioinformatics workflows</li></ul><p dir="ltr">The 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].</p><p dir="ltr">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.</p><p dir="ltr"><br><br></p><p dir="ltr"><b>References:</b></p><ol><li>Petzold A. <i>Proteolysis-Based Biomarker Repertoire of the Neurofilament Proteome</i>. <i>J Neurochem.</i> 2025;169(3):e70023. <a href="https://doi.org/10.1111/jnc.70023" target="_new">https://doi.org/10.1111/jnc.70023</a></li><li>Petzold, Axel (2024). <i>Neurofilament Degradome Atlas (NDA)</i>. University College London. Dataset. <a href="https://doi.org/10.5522/04/25689378.v1" target="_new">https://doi.org/10.5522/04/25689378.v1</a></li><li>Petzold, Axel (2025). <i>GFAP Degradome Foundation Atlas</i>. University College London. Dataset. <a href="https://doi.org/10.5522/04/28288136.v1" target="_new">https://doi.org/10.5522/04/28288136.v1</a><br><br></li></ol><p></p>