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        <datestamp>2025-12-17T15:12:25Z</datestamp>
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          <identifier identifierType="DOI">10.5522/04/30883571.v1</identifier>
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              <creatorName>Petzold, Axel</creatorName>
              <givenName>Axel</givenName>
              <familyName>Petzold</familyName>
              <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org">0000-0002-0344-9749</nameIdentifier>
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          <titles>
            <title><![CDATA[<b>FUsed in Sarcoma (FUS) Degradome Foundation Atlas</b>]]></title>
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          <subjects>
            <subject>Other chemical sciences not elsewhere classified</subject>
            <subject>P35637</subject>
            <subject>FUS</subject>
            <subject>FUsed in Sarcoma</subject>
            <subject>ALS</subject>
            <subject>Motor neuron disease</subject>
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            <date dateType="Created">2025-12-17</date>
            <date dateType="Updated">2025-12-17</date>
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          <publicationYear>2025</publicationYear>
          <publisher>University College London</publisher>
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            <description descriptionType="Abstract"><![CDATA[<p dir="ltr">This repository contains the FUS Degradome Foundation Atlas, an open-access dataset providing a comprehensive <i>in silico</i> reconstruction of the proteolytic fragment landscape of FUsed in Sarcoma (FUS). Rather than treating FUS as a single, static protein, the atlas represents FUS as a dynamic ensemble of peptide fragments generated through normal protein turnover and regulated proteolytic cleavage.</p><p dir="ltr">The dataset enumerates all theoretically possible FUS peptide fragments derived from predicted enzymatic and chemical cleavage sites. For each fragment, biochemical and biophysical properties are calculated, enabling peptide-level analysis suitable for proteomics, biomarker discovery, and computational biology workflows. The present release includes the wild-type FUS sequence, with a framework designed for straightforward expansion to disease-associated mutations, including amyotrophic lateral sclerosis (ALS)-linked variants.</p><p dir="ltr">All data are provided in structured CSV format alongside a fully reproducible Python workflow and accompanying documentation. This repository is intended to support research into neurodegenerative disease mechanisms, RNA-binding protein biology, autoimmunity, peptide-antibody interactions, and machine-learning-based analyses. The FUS Degradome Foundation Atlas complements existing degradome resources and contributes to a systematic understanding of protein fragmentation in health and disease.</p>]]></description>
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