Extending the Detection Limit in Fragment Screening of Proteins Using Reverse Micelle Encapsulation.

Detection of very weak (Kd > 10 mM) interactions of proteins with small molecules has been elusive. This is particularly important for fragment-based drug discovery, where it is suspected that the majority of potentially useful fragments will be invisible to current screening methodologies. We describe an NMR approach that permits detection of protein-fragment interactions in the very low affinity range and extends the current detection limit of ∼10 mM up to ∼200 mM and beyond. Reverse micelle encapsulation is leveraged to effectively reach very high fragment and protein concentrations, a principle that is validated by binding model fragments to E. coli dihydrofolate reductase. The method is illustrated by target-detected screening of a small polar fragment library against interleukin-1ß, which lacks a known ligand-binding pocket. Evaluation of binding by titration and structural context allows for validation of observed hits using rigorous structural and statistical criteria. The 21 curated hit molecules represent a remarkable hit rate of nearly 10% of the library. Analysis shows that fragment binding involves residues comprising two-thirds of the protein's surface. Current fragment screening methods rely on detection of relatively tight binding to ligand binding pockets. The method presented here illustrates a potential to faithfully discover starting points for development of small molecules that bind to a desired region of the protein, even if the targeted region is defined by a relatively flat surface.

Site-Resolved and Quantitative Characterization of Very Weak Protein-Ligand Interactions.

Very weak interactions between small organic molecules and proteins have long been predicted and are expected to have dissociation constants of hundreds of millimolar and above. Unfortunately, quantitative evaluation of binding in a high-resolution structural context for this affinity regime is particularly difficult and often impossible using existing experimental approaches. Here, we show that nanoscale encapsulation of single protein molecules within the water core of reverse micelles enables the detection and evaluation of weak binding interactions at atomic resolution using solution NMR spectroscopy. This strategy is used to survey the interactions of a set of small molecules with the cytokine interleukin-1ß (IL-1ß). The interaction of IL-1ß with these molecules is found to vary from more diffuse and weak binding modes to more specific and with a relatively higher affinity. The interactions detected here cover a large portion of the protein surface and have dissociation constants mostly in the low molar range. These results illustrate the ability of a protein to interact productively with a variety of small molecule functional groups and point to a broader potential to target even relatively featureless protein surfaces for applications in chemical biology and drug discovery.

Reverse Micelle Encapsulation of Proteins for NMR Spectroscopy.

Reverse micelle (RM) encapsulation of proteins for NMR spectroscopy has many advantages over standard NMR methods such as enhanced tumbling and improved sensitivity. It has opened many otherwise difficult lines of investigation including the study of membrane-associated proteins, large soluble proteins, unstable protein states, and the study of protein surface hydration dynamics. Recent technological developments have extended the ability of RM encapsulation with high structural fidelity for nearly all proteins and thereby allow high-quality state-of-the-art NMR spectroscopy. Optimal conditions are achieved using a streamlined screening protocol, which is described here. Commonly studied proteins spanning a range of molecular weights are used as examples. Very low-viscosity alkane solvents, such as propane or ethane, are useful for studying very large proteins but require the use of specialized equipment to permit preparation and maintenance of well-behaved solutions under elevated pressure. The procedures for the preparation and use of solutions of RMs in liquefied ethane and propane are described. The focus of this chapter is to provide procedures to optimally encapsulate proteins in reverse micelles for modern NMR applications.

Severing of a hydrogen bond disrupts amino acid networks in the catalytically active state of the alpha subunit of tryptophan synthase.

Conformational changes in the ß2α2 and ß6α6 loops in the alpha subunit of tryptophan synthase (αTS) are important for enzyme catalysis and coordinating substrate channeling with the beta subunit (ßTS). It was previously shown that disrupting the hydrogen bond interactions between these loops through the T183V substitution on the ß6α6 loop decreases catalytic efficiency and impairs substrate channeling. Results presented here also indicate that the T183V substitution decreases catalytic efficiency in Escherchia coli αTS in the absence of the ßTS subunit. Nuclear magnetic resonance (NMR) experiments indicate that the T183V substitution leads to local changes in the structural dynamics of the ß2α2 and ß6α6 loops. We have also used NMR chemical shift covariance analyses (CHESCA) to map amino acid networks in the presence and absence of the T183V substitution. Under conditions of active catalytic turnover, the T183V substitution disrupts long-range networks connecting the catalytic residue Glu49 to the αTS-ßTS binding interface, which might be important in the coordination of catalytic activities in the tryptophan synthase complex. The approach that we have developed here will likely find general utility in understanding long-range impacts on protein structure and dynamics of amino acid substitutions generated through protein engineering and directed evolution approaches, and provide insight into disease and drug-resistance mutations.

Amino acid networks in a (ß/α)8 barrel enzyme change during catalytic turnover.

Proteins can be viewed as small-world networks of amino acid residues connected through noncovalent interactions. Nuclear magnetic resonance chemical shift covariance analyses were used to identify long-range amino acid networks in the α subunit of tryptophan synthase both for the resting state (in the absence of substrate and product) and for the working state (during catalytic turnover). The amino acid networks observed stretch from the surface of the protein into the active site and are different between the resting and working states. Modification of surface residues on the network alters the structural dynamics of active-site residues over 25 Å away and leads to changes in catalytic rates. These findings demonstrate that amino acid networks, similar to those studied here, are likely important for coordinating structural changes necessary for enzyme function and regulation.