Search Results (4)

To identify pancoronaviral inhibitors, we sought to identify peptides that bound the evolutionarily conserved SARS-CoV-2 spike fusion peptide (FP). We screened the NEB PhD-7-mer random combinatorial phage display library against FP, synthesised as a D-peptide, to identify peptides from the L-library to be synthesised as proteolytically resistant D peptides. We selected the top ten peptides that were not seen in another published screen with this library, as these were more likely to be specific. All ten D-peptides had no impact on the infection of Vero-E6/TMPRSS2 cells by SARS-CoV-2. Screening of a proteomic-derived phage display library from the disordered regions of human proteins identified two overlapping 14mer peptides from a region of OTUD1. While a synthetic peptide based on their sequences failed to markedly inhibit viral entry, molecular dynamics structural modelling highlighted a stable binding mode where positive residues on one side of the OTUD1 helix interacted with hydrophobic residues of the FP triple-helical wedge. Thus, while the two phage display strategies failed to yield peptide sequences that are themselves strong inhibitors of viral infection, they led to the development of a computational model that can underpin future designs of potential pancoronaviral FP disruptors. Full article

Phage-displayed peptide selections generate complex repertoires of several hundred thousand peptides as revealed by next-generation sequencing (NGS). In repeated peptide selections, however, even in identical experimental in vitro conditions, only a very small number of common peptides are found. The repertoire complexities are evidence of the difficulty of distinguishing between effective selections of specific peptide binders to exposed targets and the potential high background noise. Such investigation is even more relevant when considering the plethora of in vivo expressed targets on cells, in organs or in the entire organism to define targeting peptide agents. In the present study, we compare the published NGS data of three peptide repertoires that were obtained by phage display under identical experimental in vitro conditions. By applying the recently developed tool PepSimili we evaluate the calculated similarities of the individual peptides from each of these three repertoires and perform their mappings on the human proteome. The peptide-to-peptide mappings reveal high similarities among the three repertoires, confirming the desired reproducibility of phage-displayed peptide selections. Full article

The discovery of new insecticides improves integrated pest management (IPM), but is usually a long high-risk process with a low probability of success. For over two decades, insect neuropeptides (NPs) and their G-protein coupled receptors (GPCRs) have been considered as biological targets for insect pest control, because they are involved in almost all physiological processes associated with insect life stages. A key roadblock to success has been the question of how large volume chemical libraries can be efficiently screened for active compounds. New genomic and proteomic tools have advanced and facilitated the development of new approaches to insecticide discovery. In this study, we report a novel GPCR-based screening technology that uses millions of short peptides randomly generated by bacteriophages, and a method using an insect Sf9 cell expression system. The fire ant is a good model system, since bioactive peptides have been identified for a specific GPCR. The novel small peptides could interfere with the target GPCR-ligand functions. Therefore, we refer to this new mechanism as “receptor interference” (RECEPTORi). The GPCR-based bioactive peptide screening method offers multiple advantages. Libraries of phage-displayed peptides (~10⁹ peptides) are inexpensive. An insect cell-based screening system rapidly leads to target specific GPCR agonists or antagonists in weeks. Delivery of bioactive peptides to target pests can be flexible, such as topical, ingestion, and plant-incorporated protectants. A variety of GPCR targets are available, thus minimizing the development of potential insecticide resistance. This report provides the first proof-of-concept for the development of novel arthropod pest management strategies using neuropeptides, and GPCRs. Full article

House dust mite (HDM) protease allergens, through cleavages of critical surface proteins, drastically influence the initiation of the Th2 type immune responses. However, few human protein substrates for HDM proteases have been identified so far, mainly by applying time-consuming target-specific individual studies. Therefore, the identification of substrate repertoires for HDM proteases would represent an unprecedented key step toward a better understanding of the mechanism of HDM allergic response. In this study, phage display screenings using totally or partially randomized nonameric peptide substrate libraries were performed to characterize the extended substrate specificities (P₅–P₄′) of the HDM proteases Der p 1, Der p 3 and Der p 6. The bioinformatics interface PoPS (Prediction of Protease Specificity) was then applied to define the proteolytic specificity profile of each protease and to predict new protein substrates within the human cell surface proteome, with a special focus on immune receptors. Specificity profiling showed that the nature of residues in P₁ but also downstream the cleavage sites (P′ positions) are important for effective cleavages by all three HDM proteases. Strikingly, Der p 1 and Der p 3 display partially overlapping specificities. Analysis with PoPS interface predicted 50 new targets for the HDM proteases, including 21 cell surface receptors whose extracellular domains are potentially cleaved by Der p 1, Der p 3 and/or Der p 6. Twelve protein substrate candidates were confirmed by phage ELISA (enzyme linked immunosorbent assay). This extensive study of the natural protein substrate specificities of the HDM protease allergens unveils new cell surface target receptors for a better understanding on the role of these proteases in the HDM allergic response and paves the way for the design of specific protease inhibitors for future anti-allergic treatments. Full article