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2026
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| Online Access: | https://doi.org/10.5281/zenodo.18944678 |
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| _version_ | 1866901635725262848 |
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| author | Leonardo Broetto |
| author_facet | Leonardo Broetto |
| contents | <h2>v1.1.0 - Version Associated with Published Article</h2> <h3>Software Title</h3> <p>**Functional annotation model using HMM profile mapping for bacterial resistance-persistence</p> <p>This release contains custom pHMMs libraries for bacterial resistance and persistence protein identification.</p> <h3>Contents:</h3> <ul> <li>Resistance-associated protein pHMM library</li> <li>Persistence-associated protein pHMM library</li> <li>Validation data and usage documentation</li> </ul> <h3>Citation</h3> <pre><code>@software{broetto_docking_analysis_2026, author = {Leonardo Broetto}, title = {{Functional annotation model using HMM profile mapping for bacterial resistance-persistence}}, month = jan, year = 2026, publisher = {Zenodo}, version = {v1.0.0}, } </code></pre> <h3>Associated Research</h3> <p>Developed for and used in the study:</p> <h3>Associated Publication</h3> <p>Developed for and used in the study:</p> <p><strong>Exploring the Molecular Basis of Potassium Usnate Activity Against Staphylococcus warneri Persistence and Resistance Through Protein Interaction Networks and Molecular Docking</strong></p> <p><strong>Published in:</strong> <em>Network Modeling Analysis in Health Informatics and Bioinformatics</em> (Springer Nature), 2026<br> <strong>Article DOI:</strong> <a href="https://doi.org/10.1007/s13721-026-00767-7">10.1007/s13721-026-00767-7</a></p> <h3>License</h3> <p>GNU General Public License v3.0</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18944678 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | lbroetto/Functional-annotation-model-using-HMM-profile-mapping-for-bacterial-resistance-persistence: Version associated with published article Leonardo Broetto <h2>v1.1.0 - Version Associated with Published Article</h2> <h3>Software Title</h3> <p>**Functional annotation model using HMM profile mapping for bacterial resistance-persistence</p> <p>This release contains custom pHMMs libraries for bacterial resistance and persistence protein identification.</p> <h3>Contents:</h3> <ul> <li>Resistance-associated protein pHMM library</li> <li>Persistence-associated protein pHMM library</li> <li>Validation data and usage documentation</li> </ul> <h3>Citation</h3> <pre><code>@software{broetto_docking_analysis_2026, author = {Leonardo Broetto}, title = {{Functional annotation model using HMM profile mapping for bacterial resistance-persistence}}, month = jan, year = 2026, publisher = {Zenodo}, version = {v1.0.0}, } </code></pre> <h3>Associated Research</h3> <p>Developed for and used in the study:</p> <h3>Associated Publication</h3> <p>Developed for and used in the study:</p> <p><strong>Exploring the Molecular Basis of Potassium Usnate Activity Against Staphylococcus warneri Persistence and Resistance Through Protein Interaction Networks and Molecular Docking</strong></p> <p><strong>Published in:</strong> <em>Network Modeling Analysis in Health Informatics and Bioinformatics</em> (Springer Nature), 2026<br> <strong>Article DOI:</strong> <a href="https://doi.org/10.1007/s13721-026-00767-7">10.1007/s13721-026-00767-7</a></p> <h3>License</h3> <p>GNU General Public License v3.0</p> |
| title | lbroetto/Functional-annotation-model-using-HMM-profile-mapping-for-bacterial-resistance-persistence: Version associated with published article |
| url | https://doi.org/10.5281/zenodo.18944678 |