Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mélanie Villard"'
Autor:
Jaume Bonet, Sarah Wehrle, Karen Schriever, Che Yang, Anne Billet, Fabian Sesterhenn, Andreas Scheck, Freyr Sverrisson, Barbora Veselkova, Sabrina Vollers, Roxanne Lourman, Mélanie Villard, Stéphane Rosset, Thomas Krey, Bruno E Correia
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 11, p e1006623 (2018)
The robust computational design of functional proteins has the potential to deeply impact translational research and broaden our understanding of the determinants of protein function and stability. The low success rates of computational design protoc
Externí odkaz:
https://doaj.org/article/8517291b5c1840df9fd16f03250fc1bc
Autor:
Teresa Delgado, Mélanie Villard
Publikováno v:
Journal of Chemical Education. 99:1026-1035
Autor:
Sean Ervin, Jean-François Eléouët, Sabrina Vollers, Marie-Anne Rameix-Welti, Marie Galloux, Stéphane Rosset, Jean-Philippe Julien, Xiaolin Wen, Yuxing Li, Johannes T. Cramer, Che Yang, Jaume Bonet, Thomas Krey, Theodore S. Jardetzky, Patricia Corthésy, Yimeng Wang, Sabine Riffault, Chi-I Chiang, Iga Kucharska, Delphyne Descamps, Elie Dheilly, Sandrine Georgeon, Giacomo Castoro, Mélanie Villard, Charles-Adrien Richard, Teresa C. Delgado, Fabian Sesterhenn, Elisa Oricchio, Vicente Mas, Luciano A. Abriata, Bruno E. Correia, John T. Bates
Publikováno v:
Science
Science, American Association for the Advancement of Science (AAAS), 2020, 368 (6492), ⟨10.1126/science.aay5051⟩
Science, 2020, 368 (6492), ⟨10.1126/science.aay5051⟩
Repisalud
Instituto de Salud Carlos III (ISCIII)
Science, American Association for the Advancement of Science (AAAS), 2020, 368 (6492), ⟨10.1126/science.aay5051⟩
Science, 2020, 368 (6492), ⟨10.1126/science.aay5051⟩
Repisalud
Instituto de Salud Carlos III (ISCIII)
De novo protein design has been successful in expanding the natural protein repertoire. However, most de novo proteins lack biological function, presenting a major methodological challenge. In vaccinology, the induction of precise antibody responses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df9f1d989a7cf1ff0c4f055cac2b414e
https://hdl.handle.net/20.500.12105/14107
https://hdl.handle.net/20.500.12105/14107
Autor:
Irène Rossitto-Borlat, Mélanie Villard, Hellena Brodier, Elsa Martins, Oliver Hartley, Ilke Ilgaz
Publikováno v:
Molecular Pharmacology, Vol. 98, No 5 (2020) pp. 599-611
C-C chemokine receptor 5 (CCR5) is a chemokine receptor belonging to the G protein-coupled receptor (GPCR) superfamily. An established anti-human immunodeficiency virus drug target, CCR5 is attracting significant additional interest in both cancer an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e23665db61fafaaacc9b7f9e118970d7
https://archive-ouverte.unige.ch/unige:144927
https://archive-ouverte.unige.ch/unige:144927
Autor:
Bruno E. Correia, Freyr Sverrisson, Anne Billet, Sarah Wehrle, Jaume Bonet, Che Yang, Karen Schriever, Fabian Sesterhenn, Stéphane Rosset, Andreas Scheck, Mélanie Villard, Roxanne Lourman, Sabrina Vollers
The robust computational design of functional proteins has the potential to deeply impact translational research and broaden our understanding of the determinants of protein function, nevertheless, it remains a challenge for state-of-the-art methodol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7325f1d9cd001c017e4a75ad4b7491a2
Autor:
Roxanne Lourman, Stéphane Rosset, Sarah Wehrle, Barbora Veselkova, Freyr Sverrisson, Bruno E. Correia, Sabrina Vollers, Anne Billet, Jaume Bonet, Karen Schriever, Fabian Sesterhenn, Thomas Krey, Andreas Scheck, Che Yang, Mélanie Villard
Publikováno v:
PLOS Computational Biology
PLoS Computational Biology
PLoS Computational Biology, Vol 14, Iss 11, p e1006623 (2018)
PLoS Computational Biology
PLoS Computational Biology, Vol 14, Iss 11, p e1006623 (2018)
The robust computational design of functional proteins has the potential to deeply impact translational research and broaden our understanding of the determinants of protein function and stability. The low success rates of computational design protoc