
pmid: 16978647
An in-vitro selection strategy was used to obtain strongly stabilized variants of the beta1 domain of protein G (Gbeta1). In a two-step approach, first candidate positions with a high potential for stabilization were identified in Gbeta1 libraries that were created by error-prone PCR, and then, after randomization of these positions by saturation mutagenesis, strongly stabilized variants were selected. For both steps the in-vitro selection method Proside was employed. Proside links the stability of a protein with the infectivity of a filamentous phage. Ultimately, residues from the two best selected variants were combined in a single Gbeta1 molecule. This variant with the four mutations E15V, T16L, T18I, and N37L showed an increase of 35.1 degrees C in the transition midpoint and of 28.5 kJ mol(-1) (at 70 degrees C) in the Gibbs free energy of stabilization. It was considerably more stable than the best variant from a previous Proside selection, in which positions were randomized that had originally been identified by computational design. Only a single substitution (T18I) was found in both selections. The best variants from the present selection showed a higher cooperativity of thermal unfolding, as indicated by an increase in the enthalpy of unfolding by about 60 kJ mol(-1). This increase is apparently correlated with the presence of Leu residues that were selected at the positions 16 and 37.
Evolution, Molecular, Models, Molecular, Protein Denaturation, Random Allocation, Hot Temperature, Bacterial Proteins, Mutagenesis, Mutation, Computer Simulation, Protein Structure, Tertiary
Evolution, Molecular, Models, Molecular, Protein Denaturation, Random Allocation, Hot Temperature, Bacterial Proteins, Mutagenesis, Mutation, Computer Simulation, Protein Structure, Tertiary
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
