Consensus protein engineering on the thermostable histone-like bacterial protein HUs significantly improves stability and DNA binding affinity

Consensus-based protein engineering strategy has been applied to various proteins and it can lead to the design of proteins with enhanced biological performance. Histone-like HUs comprise a protein family with sequence variety within a highly conserved 3D-fold. HU function includes compacting and regulating bacterial DNA in a wide range of biological conditions in bacteria. To explore the possible impact of consensus-based design in the thermodynamic stability of HU proteins, the approach was applied using a dataset of sequences derived from a group of 40 mesostable, thermostable, and hyperthermostable HUs. The consensus-derived HU protein was named HUBest, since it is expected to perform best. The synthetic HU gene was overexpressed in E. coli and the recombinant protein was purified. Subsequently, HUBest was characterized concerning its correct folding and thermodynamic stability, as well as its ability to interact with plasmid DNA. A substantial increase in HUBest stability at high temperatures is observed. HUBest has significantly improved biological performance at ambience temperature, presenting very low K_d values for binding plasmid DNA as indicated from the Gibbs energy profile of HUBest. This K_d may be associated to conformational changes leading to decreased thermodynamic stability and, therefore, higher flexibility at ambient temperature.

Strategies for Increasing Protein Stability

The stability of wild-type proteins is often a hurdle to their practical use in research, industry, and medicine. The route to engineering stability of a protein of interest lies largely with the available data. Where high-resolution structural data is available, rational design, based on fundamental principles of protein chemistry, can improve protein stability. Recent advances in computational biology and the use of nonnatural amino acids have also provided novel rational methods for improving protein stability. Likewise, the explosion of sequence and structural data available in public databases, in combination with improvements in freely available computational tools, has produced accessible phylogenetic approaches. Trawling modern sequence databases can identify the thermostable homologs of a target protein, and evolutionary data can be quickly generated using available phylogenetic tools. Grafting features from those thermostable homologs or ancestors provides stability improvement through a semi-rational approach. Further, molecular techniques such as directed evolution have shown great promise in delivering designer proteins. These strategies are well documented and newly accessible to the molecular biologist, allowing for rapid enhancements of protein stability.