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        <identifier>oai:figshare.com:article/34009389</identifier>
        <datestamp>2026-09-28T05:39:03Z</datestamp>
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          <dc:title>Data Sheet 1_Unraveling pH-dependent peptide conformational transitions via integration of main mechanical forces and side-chain interactions.pdf</dc:title>
          <dc:creator>Michele Larocca (1783783)</dc:creator>
          <dc:creator>Giuseppe Floresta (3949478)</dc:creator>
          <dc:creator>Daniele Verderese (25119969)</dc:creator>
          <dc:creator>Agostino Cilibrizzi (1927024)</dc:creator>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>conformational stability</dc:subject>
          <dc:subject>MMFS</dc:subject>
          <dc:subject>peptide folding</dc:subject>
          <dc:subject>pH responsiveness</dc:subject>
          <dc:subject>protonation states</dc:subject>
          <dc:description>&lt;p&gt;The stability and flexibility of peptide structures are strongly influenced by environmental conditions, particularly pH. In this study, we investigate how changes in protonation states of pH-responsive residues modulate non-covalent interaction networks and drive conformational transitions. Using a β-hairpin peptide (PDB ID: 1K43) as a model system, we developed a tailored extension of the Main Mechanical Forces (MMFs) approach that explicitly accounts for side-chain protonation and its effects on non-covalent interaction patterns. Molecular dynamics (MD) simulations were performed to validate the MMFs-derived pH-related structural predictions and to provide complementary insights into pH-dependent conformational stability and flexibility of a peptide structure. The overall agreement between MMFs and MD results is an indication of the reliability of the proposed methodology. Overall, we present a refined MMFs-based methodological framework capable of predicting pH-dependent conformational transitions by systematically modelling changes in side-chain interaction patterns and non-covalent networks. This approach provides an effective calculation strategy for studying pH-responsive systems, which has potential to inform future simulation platforms focusing on peptide folding mechanisms.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-28T05:39:03Z</dc:date>
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          <dc:identifier>10.3389/fchbi.2026.1914849.s001</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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