Joey M. Studts

Molecular basis of MAPK-activated protein kinase 2:p38 assembly

p38 MAPK and MAPK-activated protein kinase 2 (MK2) are key components of signaling pathways leading to many cellular responses, notably the proinflammatory cytokine production. The physical association of p38α isoform and MK2 is believed to be physiologically important for this signaling. We report the 2.7-Å resolution crystal structure of the unphosphorylated complex between p38α and MK2. These protein kinases bind “head-to-head,” present their respective active sites on approximately the same side of the heterodimer, and form extensive intermolecular interactions. Among these interactions, the MK2 Ile-366–Ala-390, which includes the bipartite nuclear localization signal, binds to the p38α-docking region. This binding supports the involvement of noncatalytic regions to the tight binding of the MK2:p38α binary assembly. The MK2 residues 345–365, containing the nuclear export signal, block access to the p38α active site. Some regulatory phosphorylation regions of both protein kinases engage in multiple interactions with one another in this complex. This structure gives new insights into the regulation of the protein kinases p38α and MK2, aids in the better understanding of their known cellular and biochemical studies, and provides a basis for understanding other regulatory protein–protein interactions involving signal transduction proteins.

Expression, purification, crystallization and preliminary crystallographic analysis of human Pim-­1 kinase

Pim kinases, including Pim-1, Pim-2 and Pim-3, belong to a distinctive serine/threonine protein-kinase family. They are involved in cytokine-induced signal transduction and the development of lymphoid malignancies. Their kinase domains are highly homologous to one another, but share low sequence identity to other kinases. Specifically, there are two proline residues in the conserved hinge-region sequence ERPXPX separated by a residue that is non-conserved among Pim kinases. Full-length human Pim-1 kinase (1-313) was cloned and expressed in Escherichia coli as a GST-fusion protein and truncated to Pim-1 (14-313) by thrombin digestion during purification. The Pim-1 (14-313) protein was purified to high homogeneity and monodispersity. This protein preparation yielded small crystals in the initial screening and large crystals after optimization. The large crystals of apo Pim-1 enzyme diffracted to 2.1 A resolution and belong to space group P6(5), with unit-cell parameters a = b = 95.9, c = 80.0 A, beta = 120 degrees and one molecule per asymmetric unit.

Boosting antibody developability through rational sequence optimization

The application of monoclonal antibodies as commercial therapeutics poses substantial demands on stability and properties of an antibody. Therapeutic molecules that exhibit favorable properties increase the success rate in development. However, it is not yet fully understood how the protein sequences of an antibody translates into favorable in vitro molecule properties. In this work, computational design strategies based on heuristic sequence analysis were used to systematically modify an antibody that exhibited a tendency to precipitation in vitro. The resulting series of closely related antibodies showed improved stability as assessed by biophysical methods and long-term stability experiments. As a notable observation, expression levels also improved in comparison with the wild-type candidate. The methods employed to optimize the protein sequences, as well as the biophysical data used to determine the effect on stability under conditions commonly used in the formulation of therapeutic proteins, are described. Together, the experimental and computational data led to consistent conclusions regarding the effect of the introduced mutations. Our approach exemplifies how computational methods can be used to guide antibody optimization for increased stability.

Prediction and Reduction of the Aggregation of Monoclonal Antibodies

Protein aggregation remains a major area of focus in the production of monoclonal antibodies. Improving the intrinsic properties of antibodies can improve manufacturability, attrition rates, safety, formulation, titers, immunogenicity, and solubility. Here, we explore the potential of predicting and reducing the aggregation propensity of monoclonal antibodies, based on the identification of aggregation-prone regions and their contribution to the thermodynamic stability of the protein. Although aggregation-prone regions are thought to occur in the antigen binding region to drive hydrophobic binding with antigen, we were able to rationally design variants that display a marked decrease in aggregation propensity while retaining antigen binding through the introduction of artificial aggregation gatekeeper residues. The reduction in aggregation propensity was accompanied by an increase in expression titer, showing that reducing protein aggregation is beneficial throughout the development process. The data presented show that this approach can significantly reduce liabilities in novel therapeutic antibodies and proteins, leading to a more efficient path to clinical studies.

Development of a High-Throughput Assay to Measure Histidine Decarboxylase Activity

Histamine is a well-known mediator of allergic, inflammatory, and neurological responses. More recent studies suggest a role for histamine and its receptors in a wide range of biological processes, including T-cell maturation and bone remodeling. Histamine serum levels are regulated mainly by the activity of the histamine-synthesizing enzyme histidine decarboxylase (HDC). Despite the importance of this enzyme in many physiological processes, very few potent HDC inhibitors have been identified. HDC assays suitable for high-throughput screening have not been reported. The authors describe the development of a fluorescence polarization assay to measure HDC enzymatic activity. They used a fluorescein-histamine probe that binds with high affinity to an antihistamine antibody for detection. Importantly, they show that probe binding is fully competed by histamine, but no competition by the HDC substrate histidine was observed. The automated assay was performed in a total volume of 60 μL, had an assay window of 80 to 100 mP, and had a Z′ factor of 0.6 to 0.7. This assay provides new tools to study HDC activity and pharmacological modulation of histamine levels.