Browsing by Author "Hellinga, Homme W"

One of the most significant discoveries from mutational analysis of protein interfaces is that often a large percentage of interface residues negligibly perturb the binding energy upon mutation, while residues in a few critical "hotspots" drastically reduce affinity when mutated. The organization of protein interfaces into hotspots has a number of important implications. For example, small interfaces can have high affinity, and when multiple binding partners are generated to the same protein, they are predisposed to binding the same regions and often have the same hotspots. Even small molecules that bind to interfaces and disrupt protein-protein interactions (PPIs) tend to bind at hotspots. This suggests that some hotspot-forming sites on protein surfaces are intrinsically more apt to form protein interfaces. These observations paint a hotspot-centric picture of PPI energetics, and present a question of fundamental importance which remains largely unanswered: why are hotspots hot?

In order to gain insight into the nature of hotspots I experimentally examined the small, but high-affinity interface between the synthetically evolved ankyrin repeat protein Off7 with E. coli maltose binding protein by characterization of mutant variants and redesigned interfaces. In order to characterize many mutants, I developed two high-throughput assays to measure protein-protein binding that integrate with existing technology for the high-throughput fabrication of genes. The first is an ELISA-based method using in vitro expressed protein for semi-quantitative analysis of affinity. Starting from DNA encoding protein partners, binding data is obtained in just a few hours; no exogenous purification is required. For the second assay, I develop data fitting methods and thermodynamic framework for determination of binding free energies from binding-induced shifts in protein thermal stability monitored with Sypro Orange.

Analysis of Off7/MBP variants using these methods reveals that conservative mutagenesis or local computational repacking is tolerated for many residues in the interface without drastic loss of affinity, except for a single essential hotspot. This hotspot contains a Tyr-His-Asp hydrogen bonding network reminiscent of a common catalytic motif. Substitution of the tyrosine with phenylalanine shows that a single hydrogen bond across the interface is critical for binding. Analysis of the protein database by structural bioinformatics shows that, although rare, this motif is present in other naturally evolved interfaces. Such a triad was found in the homodimeric interface of PH0642 from Pyrococcus horikoshii, and is conserved between many homologues in the nitrilase superfamily, meeting one of the key criteria by which potential hotspots can be identified. This analysis supports a number of analogies between hotspot residues and catalytic residues in enzyme active sites, and raises the intriguing possibility that hotspots may be associated with other structural motifs that could be used for identification or design of PPIs.

Driven by the development of new technologies and an ever expanding knowledge base of molecular and cellular function, Biology is rapidly gaining the potential to develop into a veritable engineering discipline - the so-called `era of synthetic biology' is upon us. Designing biological systems is advantageous because the engineer can leverage existing capacity for self-replication, elaborate chemistry, and dynamic information processing. On the other hand these functions are complex, highly intertwined, and in most cases, remain incompletely understood. Brazenly designing within these systems, despite large gaps in understanding, engenders understanding because the design process itself highlights gaps and discredits false assumptions.

Here we cover results from design projects that span several scales of complexity. First we describe the adaptation and experimental validation of protein functional assays on minute amounts of material. This work enables the application of cell-free protein expression tools in a high-throughput protein engineering pipeline, dramatically increasing turnaround time and reducing costs. The parts production pipeline can provide new building blocks for synthetic biology efforts with unprecedented speed. Tools to streamline the transition from the in vitro pipeline to conventional cloning were also developed. Next we detail an effort to expand the scope of a cysteine reactivity assay for generating information-rich datasets on protein stability and unfolding kinetics. We go on to demonstrate how the degree of site-specific local unfolding can also be determined by this method. This knowledge will be critical to understanding how proteins behave in the cellular context, particularly with regards to covalent modification reactions. Finally, we present results from an effort to engineer bacterial cell suicide in a population-dependent manner, and show how an underappreciated facet of plasmid physiology can produce complex oscillatory dynamics. This work is a prime example of engineering towards understanding.

Biosensors incorporating proteins as molecular recognition elements for analytes are used in clinical diagnostics, as biological research tools, and to detect chemical threats and pollutants. This work describes the application of protein engineering techniques to address three aspects in the design of protein-based biosensors; the transduction of binding into an observable, the manipulation of affinities, and the diversification of specificities. The periplasmic glucose-binding protein from the hyperthermophile Thermotoga maritima (tmGBP) was fused with green fluorescent protein variants to construct a fluorescent ratiometric sensor that is sufficiently robust to detect glucose up to 67°C. Ligand-binding affinities of tmGBP were changed by altering a C-terminal helical domain that tunes ligand binding affinity through conformational coupling effects. This method was extended to the Escherichia coli arabinose-binding protein. Computational design techniques were used to diversify the specificity of the E. coli maltose-binding protein (ecMBP) to bind ibuprofen, a non-steroidal antiinflammatory drug. These designs ranged in affinity from 0.24 to 0.8 mM and function as reagentless fluorescent sensors. The ligand affinities of ecMBP are tuned by complex interactions that control conformational coupling. These experiments demonstrate that long-range conformational effects as well as molecular recognition interactions need to be considered in the design of high-affinity receptors.