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50 Miedema, H., Meter-Arkema, A., Wierenga, J., Tang, J., Eisenberg, B., Nonner, W., Hektor, H., Gillespie, D., Meijberg, W., Permeation properties of an engineered bacterial OmpF porin containing the EEEE-locus of Ca2+ channels. Biophys J 87 (2004), 3137–3147.
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53 Ye, Y., Lee, H.-W., Yang, W., Shealy, S.J., Wilkins, A.L., Liu, Z.-R., Torshin, I., Harrison, R., Wohlhueter, R., Yang, J.J., Metal binding affinity and structural properties of an isolated EF-loop in a scaffold protein. Protein Eng 14 (2001), 1001–1013.
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55 Varadarajan, N., Gam, J., Olsen, M.J., Georgiou, G., Iverson, B.L., Engineering of protease variants exhibiting high catalytic activity and exquisite substrate selectivity. Proc Natl Acad Sci U S A 102 (2005), 6855–6860.
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56•• Varadarajan, N., Rodriguez, S., Hwang, B.-Y., Georgiou, G., Iverson, B.L., Highly active and selective endopeptidases with programmed substrate specificities. Nat Chem Biol 4 (2008), 290–294 Iverson and colleagues invented a screen for endopeptidase OmpT utilizing a ligand that contains a positive charged fluorophore linked by a peptide to a quencher. If OmpT cleaves the peptide, the fluorophore sticks to the negatively charged surface of E. coli and the cell can be isolated through FACS. In this paper they changed the peptide and heavily mutate the binding site to screen for OmpT variants that would cleave the peptides used. This paper details five endopeptidases which they created with cleavage specificity for an impressive variety of peptides.
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62• Alford, R.F., Koehler Leman, J., Weitzner, B.D., Duran, A.M., Tilley, D.C., Elazar, A., Gray, J.J., An integrated framework advancing membrane protein modeling and design. PLoS Comput Biol, 11, 2015, e1004398 This paper describes a membrane focused update of the widely successful protein design software ROSETTA.The update allows for the storing of membrane specific information such as membrane potentials, and preferred movements in the membrane.
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63• Lin, M., Gessmann, D., Naveed, H., Liang, J., Outer membrane protein folding and topology from a computational transfer free energy scale. J Am Chem Soc 138 (2016), 2592–2601 This paper describes an update to the membrane potential, TmSIP. This computational potential now includes intrastrand side-chain interactions and an asymmetric membrane. It can be used to calculate ΔΔG values for mutations in OmpLA and can predict the membrane insertion direction.
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65 Scott, D.J., Plückthun, A., Direct molecular evolution of detergent-stable G protein-coupled receptors using polymer encapsulated cells. J Mol Biol 425 (2013), 662–677.
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66 McIsaac, R.S., Engqvist, M.K.M., Wannier, T., Rosenthal, A.Z., Herwig, L., Flytzanis, N.C., Imasheva, E.S., Lanyi, J.K., Balashov, S.P., Gradinaru, V., Arnold, F.H., Directed evolution of a far-red fluorescent rhodopsin. Proc Natl Acad Sci U S A 111 (2014), 13034–13039.
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