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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.ijbiomac.2025.148333</dc:identifier><dc:language>eng</dc:language><dc:creator>Hidalgo-Toledo, Antonio</dc:creator><dc:creator>Bazco, Darío</dc:creator><dc:creator>Correa-Pérez, Víctor</dc:creator><dc:creator>Martínez-Júlvez, Marta</dc:creator><dc:creator>Sancho, Javier</dc:creator><dc:title>Protein thermostabilization with Protposer: Pushing the stability limits and folding reversibility of a highly-stabilized apoflavodoxin</dc:title><dc:identifier>ART-2025-145860</dc:identifier><dc:description>Enhancing the stability of highly stable proteins represents an interesting challenge in protein design. We have used the computational tool Protposer to rapidly achieve large additional stabilization of apoflavodoxin, a protein strongly thermostabilized over the years through protein engineering based on educated guesses. By rationally combining top-ranked mutations onto a previously stabilized variant (6 M), we have generated a series of new mutants and characterized their stability by thermal and chemical denaturation. Relative to the starting variant, the Tm of 10 M apoflavodoxin is nearly 9 °C higher, while the simplified 3 M and 4 M mutants, showing improved refolding properties, display increases of 6/7.5 °C, respectively. The thermostabilizing effects of individual mutations are close to additive and translate into a large increase in conformational stability at 25.0 °C. Comparison of the x-ray structures of progressively stabilized WT, 6 M and 10 M flavodoxins reveals a concomitant mild trend toward shorter hydrogen bonds, reduced internal cavity volumes and narrower tunnels. Overall, these conformational changes are minor, and a functional assay confirms the mutants also preserve their catalytic activity. These findings demonstrate that even highly stable proteins can be further stabilized through rational design using a simple computational tool that automatically analyses PDB files and identifies stabilizing mutations.</dc:description><dc:date>2025</dc:date><dc:source>http://zaguan.unizar.es/record/163800</dc:source><dc:doi>10.1016/j.ijbiomac.2025.148333</dc:doi><dc:identifier>http://zaguan.unizar.es/record/163800</dc:identifier><dc:identifier>oai:zaguan.unizar.es:163800</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/DGA/B23-24</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/DGA/E45-23R</dc:relation><dc:relation>info:eu-repo/grantAgreement/EC/H2020/101004806/EU/MOlecular-Scale Biophysics Research Infrastructure/MOSBRI</dc:relation><dc:relation>This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101004806-MOSBRI</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/PID2022-141068NB-I00</dc:relation><dc:identifier.citation>International journal of biological macromolecules 331 (2025), 148333 [11 pp.]</dc:identifier.citation><dc:rights>by-nc</dc:rights><dc:rights>https://creativecommons.org/licenses/by-nc/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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