Reliable in silico ranking of engineered therapeutic TCR binding affinities with MMPB/GBSA

Accurate and efficient in silico ranking of proteinprotein binding affinities is useful for protein design with applications in biological therapeutics. One popular approach to rank binding affinities is to apply the molecular mechanics Poisson-Boltzmann/generalized Born surface area (MMPB/ GBSA) method to molecular dynamics (MD) trajectories. Here, we identify protocols that enable the reliable evaluation of T-cell receptor (TCR) variants binding to their target, peptide-human leukocyte antigens (pHLAs). We suggest different protocols for variant sets with a few (<= 4) or many mutations, with entropy corrections important for the latter. We demonstrate how potential outliers could be identified in advance and that just 5-10 replicas of short (4 ns) MD simulations may be sufficient for the reproducible and accurate ranking of TCR variants. The protocols developed here can be applied toward in silico screening during the optimization of therapeutic TCRs, potentially reducing both the cost and time taken for biologic development

Peptide cargo tunes a network of correlated motions in human leukocyte antigens

Most biomolecular interactions are typically thought to increase the (local) rigidity of a complex, for example, in drug‐target binding. However, detailed analysis of specific biomolecular complexes can reveal a more subtle interplay between binding and rigidity. Here, we focussed on the human leucocyte antigen (HLA), which plays a crucial role in the adaptive immune system by presenting peptides for recognition by the αβ T‐cell receptor (TCR). The role that the peptide plays in tuning HLA flexibility during TCR recognition is potentially crucial in determining the functional outcome of an immune response, with obvious relevance to the growing list of immunotherapies that target the T‐cell compartment. We have applied high‐pressure/temperature perturbation experiments, combined with molecular dynamics simulations, to explore the drivers that affect molecular flexibility for a series of different peptide–HLA complexes. We find that different peptide sequences affect peptide–HLA flexibility in different ways, with the peptide cargo tuning a network of correlated motions throughout the pHLA complex, including in areas remote from the peptide‐binding interface, in a manner that could influence T‐cell antigen discrimination

Switching protein metalloporphyrin binding specificity by design from iron to fluorogenic zinc

Metalloporphyrins play important roles in areas ranging from biology to nanoscience. Using computational design, we converted metalloporphyrin specificity of cytochrome b562 from iron to fluorogenic zinc. The new variant had a near total preference for zinc representing a switch in specificity, which greatly enhanced the negligible aqueous fluorescence of free ZnPP in vitro and in vivo

Steady-State Kinetics of α-Synuclein Ferrireductase Activity Identifies the Catalytically Competent Species

α-Synuclein (α-syn) is a cytosolic protein known for its association with neurodegenerative diseases, including Parkinson’s disease and other synucleinopathies. The potential cellular function of α-synuclein may be of consequence for understanding the pathogenesis of such diseases. Previous work has suggested that α-synuclein can catalyze the reduction of iron as a ferrireductase. We performed a detailed analysis of the steady-state kinetics of recombinant α-syn ferrireductase activity and for disease-associated variants. Our study illustrates that the ferrireductase activity we observed is clearly commensurate with bona fide enzyme activity and suggests a mechanistic rationale for the activity and the relationship to cellular regulation of the pool of Fe­(III) and Fe­(II). Using cell-based studies, we examined the functionally active conformation and found that the major catalytically active form is a putative membrane-associated tetramer. Using an artificial membrane environment with recombinant protein, we demonstrate that secondary structure folding of α-synuclein is insufficient to allow enzyme activity and the absolute specificity of the tertiary/quaternary structure is the primary requirement. Finally, we explored the steady-state kinetics of a range of disease α-synuclein variants and found that variants involved in neurodegenerative disease exhibited major changes in their enzymatic activity. We discuss these data in the context of a potential disease-associated mechanism for aberrant α-synuclein ferrireductase activity

Rigidifying a De Novo Enzyme Increases Activity and Induces a Negative Activation Heat Capacity.

Conformational sampling profoundly impacts the overall activity and temperature dependence of enzymes. Peroxidases have emerged as versatile platforms for high-value biocatalysis owing to their broad palette of potential biotransformations. Here, we explore the role of conformational sampling in mediating activity in the de novo peroxidase C45. We demonstrate that 2,2,2-triflouoroethanol (TFE) affects the equilibrium of enzyme conformational states, tending toward a more globally rigid structure. This is correlated with increases in both stability and activity. Notably, these effects are concomitant with the emergence of curvature in the temperature-activity profile, trading off activity gains at ambient temperature with losses at high temperatures. We apply macromolecular rate theory (MMRT) to understand enzyme temperature dependence data. These data point to an increase in protein rigidity associated with a difference in the distribution of protein dynamics between the ground and transition states. We compare the thermodynamics of the de novo enzyme activity to those of a natural peroxidase, horseradish peroxidase. We find that the native enzyme resembles the rigidified de novo enzyme in terms of the thermodynamics of enzyme catalysis and the putative distribution of protein dynamics between the ground and transition states. The addition of TFE apparently causes C45 to behave more like the natural enzyme. Our data suggest robust, generic strategies for improving biocatalytic activity by manipulating protein rigidity; for functional de novo protein catalysts in particular, this can provide more enzyme-like catalysts without further rational engineering, computational redesign, or directed evolution