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              <creatorName>Petzold, Axel</creatorName>
              <givenName>Axel</givenName>
              <familyName>Petzold</familyName>
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          <titles>
            <title><![CDATA[<b>Ferritin Degradome Foundation Atlas</b>]]></title>
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          <subjects>
            <subject>Veterinary immunology</subject>
            <subject>Veterinary pathology</subject>
            <subject>Other biological sciences not elsewhere classified</subject>
            <subject>Clinical chemistry (incl. diagnostics)</subject>
            <subject>Infectious diseases</subject>
            <subject>Intensive care</subject>
            <subject>Pathology (excl. oral pathology)</subject>
            <subject>Rheumatology and arthritis</subject>
            <subject>Geriatrics and gerontology</subject>
            <subject>Emergency medicine</subject>
            <subject>Clinical microbiology</subject>
            <subject>Cellular nervous system</subject>
            <subject>Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)</subject>
            <subject>Neurology and neuromuscular diseases</subject>
            <subject>Analytical chemistry not elsewhere classified</subject>
            <subject>Proteins and peptides</subject>
            <subject>Theoretical and computational chemistry not elsewhere classified</subject>
            <subject>ferritin</subject>
            <subject>Ferritin complexes</subject>
            <subject>Iron / Anaemia / Blood management / Blood transfusion / Preoperative period</subject>
            <subject>myelination</subject>
            <subject>microglia</subject>
            <subject>neurodegeneration with brain iron accumulation disorders</subject>
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          <dates>
            <date dateType="Created">2025-11-24</date>
            <date dateType="Updated">2025-11-24</date>
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          <resourceType resourceTypeGeneral="Dataset">Dataset</resourceType>
          <publicationYear>2025</publicationYear>
          <publisher>University College London</publisher>
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            <description descriptionType="Abstract"><![CDATA[<p dir="ltr">The Ferritin Degradome Foundation Atlas is a comprehensive, open-access dataset cataloguing all theoretically possible proteolytic peptide fragments derived from the human ferritin protein. Ferritin, a heteropolymeric complex composed of heavy and light chains, plays central roles in iron storage, microglial biology, and myelination. It also serves as an established biomarker in a wide range of neurological and systemic diseases. Recent evidence highlights additional roles for ferritin in inflammatory and autoimmune disorders, particularly through ferritinophagy.</p><p dir="ltr">This atlas captures the full theoretical degradome of ferritin by predicting enzymatic and chemical cleavage sites and enumerating every possible contiguous peptide fragment. For each fragment, detailed biochemical and biophysical properties are computed, including mass-to-charge ratio, molecular weight, Boman index, net charge, isoelectric point, hydrophobicity, instability index, and aliphatic index. All peptide-level information is provided as structured CSV files suitable for downstream statistical analysis, proteomics workflows, and computational biology pipelines.</p><p dir="ltr">The resource includes:</p><ul><li>High-resolution degradomes for wild-type ferritin</li><li>CSV tables containing all fragments and calculated properties</li><li>A reproducible Python workflow used to generate the atlas</li><li>A maximally compressed archive containing all outputs</li><li>Full documentation in PDF format</li></ul><p dir="ltr">The Ferritin Degradome Foundation Atlas is intended to support biomarker discovery, neuroimmunology, autoimmune disease research, neurodegenerative disease proteomics, therapeutic target development, autoantibody and cleavage-pattern analyses, and machine-learning applications. As new cleavage sites, mutations, or biological variants are identified, the atlas will be updated to expand its scope and translational value</p>]]></description>
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