Engineering protein fragments via evolutionary and protein–protein interaction algorithms: de novo design of peptide inhibitors for F O F 1 ‐ATP synthase
العنوان: | Engineering protein fragments via evolutionary and protein–protein interaction algorithms: de novo design of peptide inhibitors for F O F 1 ‐ATP synthase |
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المؤلفون: | Guillermin Agüero-Chapin, Yasser B Ruiz-Blanco, Luis Pablo Avila-Barrientos, Enrique García-Hernández, Enrique Hernández-García, Agostinho Antunes |
المصدر: | FEBS Letters. 595:183-194 |
بيانات النشر: | Wiley, 2020. |
سنة النشر: | 2020 |
مصطلحات موضوعية: | chemistry.chemical_classification, 0303 health sciences, ATP synthase, biology, Protein subunit, 030302 biochemistry & molecular biology, Biophysics, Peptide, Cell Biology, Protein engineering, medicine.disease_cause, Biochemistry, Protein–protein interaction, 03 medical and health sciences, Enzyme, chemistry, Structural Biology, Genetics, medicine, biology.protein, Peptide library, Molecular Biology, Escherichia coli, 030304 developmental biology |
الوصف: | Enzyme subunit interfaces have remarkable potential in drug design as both target and scaffold for their own inhibitors. We show an evolution-driven strategy for the de novo design of peptide inhibitors targeting interfaces of the Escherichia coli FoF1-ATP synthase as a case study. The evolutionary algorithm ROSE was applied to generate diversity-oriented peptide libraries by engineering peptide fragments from ATP synthase interfaces. The resulting peptides were scored with PPI-Detect, a sequence-based predictor of protein-protein interactions. Two selected peptides were confirmed by in vitro inhibition and binding tests. The proposed methodology can be widely applied to design peptides targeting relevant interfaces of enzymatic complexes. |
تدمد: | 1873-3468 0014-5793 |
DOI: | 10.1002/1873-3468.13988 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::7abe6534f76b20b19e1335aadb3edcc1 https://doi.org/10.1002/1873-3468.13988 |
Rights: | CLOSED |
رقم الانضمام: | edsair.doi...........7abe6534f76b20b19e1335aadb3edcc1 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 18733468 00145793 |
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DOI: | 10.1002/1873-3468.13988 |