Biblio

Found 8 results
Filters: Author is Plückthun, A.  [Clear All Filters]
2016
Reichen C., Hansen S., Forzani C., Honegger A., Fleishman S.J, Zhou T., Parmeggiani F., Ernst P., Madhurantakam C., Ewald C. et al..  2016.  Computationally designed armadillo repeat proteins for modular peptide recognition. Journal of Molecular Biology. 428(22):4467-4489.
2015
Ewald C., Christen M.T, Watson R.P, Mihajlovic M., Zhou T., Honegger A., Plückthun A., Caflisch A., Zerbe O..  2015.  A combined NMR and computational approach to investigate Peptide binding to a designed armadillo repeat protein. Journal of Molecular Biology. 427(10):1916-1933.
2014
Watson R.P, Christen M.T, Ewald C., Bumbak F., Reichen C., Mihajlovic M., Schmidt E., Güntert P., Caflisch A., Plückthun A. et al..  2014.  Spontaneous self-assembly of engineered armadillo repeat protein fragments into a folded structure. Structure. 22(7):985-995.
2012
Alfarano P., Varadamsetty G., Ewald C., Parmeggiani F., Pellarin R., Zerbe O., Plückthun A., Caflisch A..  2012.  Optimization of designed armadillo repeat proteins by molecular dynamics simulations and NMR spectroscopy. Protein Science. 21(9):1298-1314.
2008
Interlandi G., Wetzel S.K, Settanni G., Plückthun A., Caflisch A..  2008.  Characterization and further stabilization of designed ankyrin repeat proteins by combining molecular dynamics simulations and experiments. Journal of Molecular Biology. 375(3):837-854.
Parmeggiani F., Pellarin R., Larsen A.P, Varadamsetty G., Stumpp M.T, Zerbe O., Caflisch A., Plückthun A..  2008.  Designed armadillo repeat proteins as general peptide-binding scaffolds: Consensus design and computational optimization of the hydrophobic core. Journal of Molecular Biology. 376(5):1282-1304.
2001
Paci E., Caflisch A., Plückthun A., Karplus M..  2001.  Forces and energetics of hapten-antibody dissociation: A biased molecular dynamics simulation study. Journal of Molecular Biology. 314(3):589-605.
1998
Apostolakis J., Plückthun A., Caflisch A..  1998.  Docking small ligands in flexible binding sites. Journal of Computational Chemistry. 19(1):21–37.