Protein Engineering Design & Selection最新文献

Enzyme engineering has become a widely adopted practice in research labs and industry. In parallel, the past decades have seen tremendous strides in characterizing the dynamics of proteins, using a growing array of methodologies. Importantly, links have been established between the dynamics of proteins and their function. Characterizing the dynamics of an enzyme prior to, and following, its engineering is beginning to inform on the potential of 'dynamic engineering', i.e. the rational modification of protein dynamics to alter enzyme function. Here we examine the state of knowledge at the intersection of enzyme engineering and protein dynamics, describe current challenges and highlight pioneering work in the nascent area of dynamic engineering.

Quantification of the anti-SARS-CoV-2 antibody response has proven to be a prominent diagnostic tool during the COVID-19 pandemic. Antibody measurements have aided in the determination of humoral protection following infection or vaccination and will likely be essential for predicting the prevalence of population level immunity over the next several years. Despite widespread use, current tests remain limited in part, because antibody capture is accomplished through the use of complete spike and nucleocapsid proteins that contain significant regions of overlap with common circulating coronaviruses. To address this limitation, a unique epitope display platform utilizing monovalent display and protease-driven capture of peptide epitopes was used to select high affinity peptides. A single round of selection using this strategy with COVID-19 positive patient plasma samples revealed surprising differences and specific patterns in the antigenicity of SARS-CoV-2 proteins, especially the spike protein. Putative epitopes were assayed for specificity with convalescent and control samples, and the individual binding kinetics of peptides were also determined. A subset of prioritized peptides was used to develop an antibody diagnostic assay that showed low cross reactivity while detecting 37% more positive antibody cases than a gold standard FDA EUA test. Finally, a subset of peptides were compared with serum neutralization activity to establish a 2 peptide assay that strongly correlates with neutralization. Together, these data demonstrate a novel phage display method that is capable of comprehensively and rapidly mapping patient viral antibody responses and selecting high affinity public epitopes for the diagnosis of humoral immunity.

LDL-receptor (LDLR)-mediated uptake of LDL-C into hepatocytes is impaired by lysosomal degradation of LDLR, which is promoted by proprotein convertase subtilisin/kexin type 9 (PCSK9). Cell surface binding of PCSK9 to LDLR produces a complex that translocates to an endosome, where the acidic pH strengthens the binding affinity of PCSK9 to LDLR, preventing LDLR recycling to the cell membrane. We present a new approach to inhibit PCSK9-mediated LDLR degradation, namely, targeting the PCSK9/LDLR interface with a PCSK9-antagonist, designated Flag-PCSK9PH, which prevents access of WT PCSK9 to LDLR. In HepG2 cells, Flag-PCSK9PH, a truncated version (residues 53-451) of human WT PCSK9, strongly bound LDLR at the neutral pH of the cell surface but dissociated from it in the endosome (acidic pH), allowing LDLR to exit the lysosomes intact and recycle to the cell membrane. Flag-PCSK9PH thus significantly enhanced cell-surface LDLR levels and the ability of LDLR to take up extracellular LDL-C.

TCR-like antibodies represent a unique type of engineered antibodies with specificity toward pHLA, a ligand normally restricted to the sensitive recognition by T cells. Here, we report a phage display-based sequential development path of such antibodies. The strategy goes from initial lead identification through in silico informed CDR engineering in combination with framework engineering for affinity and thermostability optimization, respectively. The strategy allowed the identification of HLA-DQ2.5 gluten peptide-specific TCR-like antibodies with low picomolar affinity. Our method outlines an efficient and general method for development of this promising class of antibodies, which should facilitate their utility including translation to human therapy.

Malate dehydrogenase (MDH) catalyzes the reduction of oxaloacetate to L-malate. Geobacillus stearothermophilus MDH (gs-MDH) is used as a diagnostic reagent; however, gs-MDH is robustly inhibited at high substrate concentrations, which limits its reaction rate. Here, we reduced substrate inhibition of gs-MDH by deleting its C-terminal residues. Computational analysis showed that C-terminal residues regulate the position of the active site loop. C-terminal deletions of gs-MDH successfully increased Ki values by 5- to 8-fold with maintained thermal stability (>90% of the wild-type enzyme), although kcat/Km values were decreased by <2-fold. The structure of the mutant showed a shift in the location of the active site loop and a decrease in its volume, suggesting that substrate inhibition was reduced by eliminating the putative substrate binding site causing inhibition. Our results provide an effective method to reduce substrate inhibition of the enzyme without loss of other parameters, including binding and stability constants.

Human mono-ADP-ribosylating PARP enzymes have been linked to several clinically relevant processes and many of these PARPs have been suggested as potential drug targets. Despite recent advances in the field, efforts to discover inhibitors have been hindered by the lack of tools to rapidly screen for high potency compounds and profile them against the different enzymes. We engineered mono-ART catalytic fragments to be incorporated into a cellulosome-based octavalent scaffold. Compared to the free enzymes, the scaffold-based system results in an improved activity for the tested PARPs due to improved solubility, stability and the proximity of the catalytic domains, altogether boosting their activity beyond 10-fold in the case of PARP12. This allows us to measure their activity using a homogeneous NAD+ conversion assay, facilitating its automation to lower the assay volume and costs. The approach will enable the discovery of more potent compounds due to increased assay sensitivity.

A new format of therapeutic proteins is bispecific antibodies, in which two different heavy chains heterodimerize to obtain two different binding sites. Therefore, it is crucial to understand and optimize the third constant domain (CH3-CH3) interface to favor heterodimerization over homodimerization, and to preserve the physicochemical properties, as thermal stability. Here, we use molecular dynamics simulations to investigate the dissociation process of 19 CH3-CH3 crystal structures that differ from each other in few point mutations. We describe the dissociation of the dimeric interface as a two-steps mechanism. As confirmed by a Markov state model, apart from the bound and the dissociated state, we observe an additional intermediate state, which corresponds to an encounter complex. The analysis of the interdomain contacts reveals key residues that stabilize the interface. We expect that our results will improve the understanding of the CH3-CH3 interface interactions and thus advance the developability and design of new antibodies formats.

Stabilizing antigenic proteins as vaccine immunogens or diagnostic reagents is a stringent case of protein engineering and design as the exterior surface must maintain recognition by receptor(s) and antigen-specific antibodies at multiple distinct epitopes. This is a challenge, as stability enhancing mutations must be focused on the protein core, whereas successful computational stabilization algorithms typically select mutations at solvent-facing positions. In this study, we report the stabilization of SARS-CoV-2 Wuhan Hu-1 Spike receptor binding domain using a combination of deep mutational scanning and computational design, including the FuncLib algorithm. Our most successful design encodes I358F, Y365W, T430I, and I513L receptor binding domain mutations, maintains recognition by the receptor ACE2 and a panel of different anti-receptor binding domain monoclonal antibodies, is between 1 and 2°C more thermally stable than the original receptor binding domain using a thermal shift assay, and is less proteolytically sensitive to chymotrypsin and thermolysin than the original receptor binding domain. Our approach could be applied to the computational stabilization of a wide range of proteins without requiring detailed knowledge of active sites or binding epitopes. We envision that this strategy may be particularly powerful for cases when there are multiple or unknown binding sites.

The field of therapeutic antibodies and, especially bi- or multispecific antibodies, is growing rapidly. Especially for treating cancers, multispecific antibodies are very promising, as there are multiple pathways involved and multispecific antibodies offer the possibility to interfere at two or more sites. Besides being used as therapeutic, multispecific antibodies can be helpful tools in basic research. However, the design and choice of the most appropriate multispecific antibody format are far from trivial. The generation of multispecific antibodies starts with the generation of antibodies directed against the desired targets and then combining the different antigen-binding sites in one molecule. This is a time-consuming and laborious approach since the most suitable geometry cannot be predicted. The SpyTag technology is based on a split-protein system, where a small peptide of said protein, the SpyTag, can bind to the remaining protein, the SpyCatcher. An irreversible isopeptide bond between the SpyTag and the SpyCatcher is formed. A related Tag-Catcher system is the SnoopTag-SnoopCatcher. These systems offer the opportunity to separately produce proteins fused to the tag-peptides and to the catcher-domains and assemble them in vitro. Our goal was to design and produce different antibody fragments, Fab domains and Fc-containing domains, with different tags and/or catchers as building blocks for the assembly of different multivalent antibodies. We have shown that large multivalent antibodies consisting of up to seven building blocks can be prepared. Binding experiments demonstrated that all binding sites in such a large molecule retained their accessibility to their corresponding antigens.