#Influenza H1 HA may be composed of discrete variable regions (VRs). Variability of an #epitope may depend on how many VRs it contains, rather than on the intrinsic VR variability. Epitopes of limited variability may be exploited to make universal #vaccines.
doi.org/10.1016/j.me...
Unveiling the #epitope #repertoires and protective roles of #MERS-CoV-specific T cells in mice, etidiohnew.blogspot.com/2026/03/unve...
Researchers identified a fully human #MonoclonalAntibody, CR9, which potently neutralizes #Omicron and its subvariants by binding a unique RBD #epitope, showing strong #antiviral efficacy against evolving #SARSCoV2. #medsky
#OpenAccess in #STTT: doi.org/10.1038/s413...
Top: An schematic overview of epitope analysis by DECODE. (i) DECODE is based on a 10^13 DNA library containing two 2′-O-methyl-guanosine residues in the 5′ end of the antisense strand. Target antibodies can be applied not only to monoclonal but also to complex polyclonal or serum antibodies. (ii) To increase the parallelization, the DECODE peptide selection method was constructed by reducing the purification process of mRNA display, and it achieved peptide selection using multiwell plates in a week. (iii) GPU-based epitope analysis against the genome-wide protein database. Enriched peptide sequences are read out by NGS and identify the epitope information in a single amino acid resolution such as target protein, binding position, and recognized residues by antibodies. Bottom: Logos of epitopes for three monoclonal antibodies against c-fos (top row) and p53 (bottom row).
#Epitope analysis methods can elucidate the basis of #antibody target specificity, but are often limited in resolution. This study presents DECODE, a high-throughput approach that provides single amino acid resolution for antibodies that recognize linear epitopes 🧪 @plosbiology.org plos.io/40LPxxQ
Top: An schematic overview of epitope analysis by DECODE. (i) DECODE is based on a 10^13 DNA library containing two 2′-O-methyl-guanosine residues in the 5′ end of the antisense strand. Target antibodies can be applied not only to monoclonal but also to complex polyclonal or serum antibodies. (ii) To increase the parallelization, the DECODE peptide selection method was constructed by reducing the purification process of mRNA display, and it achieved peptide selection using multiwell plates in a week. (iii) GPU-based epitope analysis against the genome-wide protein database. Enriched peptide sequences are read out by NGS and identify the epitope information in a single amino acid resolution such as target protein, binding position, and recognized residues by antibodies. Bottom: Logos of epitopes for three monoclonal antibodies against c-fos (top row) and p53 (bottom row).
#Epitope analysis methods can elucidate the basis of #antibody target specificity, but are often limited in resolution. This study presents DECODE, a high-throughput approach that provides single amino acid resolution for antibodies that recognize linear epitopes 🧪 @plosbiology.org plos.io/40LPxxQ
Top: An schematic overview of epitope analysis by DECODE. (i) DECODE is based on a 10^13 DNA library containing two 2′-O-methyl-guanosine residues in the 5′ end of the antisense strand. Target antibodies can be applied not only to monoclonal but also to complex polyclonal or serum antibodies. (ii) To increase the parallelization, the DECODE peptide selection method was constructed by reducing the purification process of mRNA display, and it achieved peptide selection using multiwell plates in a week. (iii) GPU-based epitope analysis against the genome-wide protein database. Enriched peptide sequences are read out by NGS and identify the epitope information in a single amino acid resolution such as target protein, binding position, and recognized residues by antibodies. Bottom: Logos of epitopes for three monoclonal antibodies against c-fos (top row) and p53 (bottom row).
#Epitope analysis methods can elucidate the basis of #antibody target specificity, but are often limited in resolution. This study presents DECODE, a high-throughput approach that provides single amino acid resolution for antibodies that recognize linear epitopes 🧪 @plosbiology.org plos.io/40LPxxQ
DBV Technologies Announces Positive 3-Year Results from EPITOPE Phase 3 Open-Label Extension Study
Read the full press release:
https://buff.ly/427qJBy
#FoodAllergy #FoodAllergies #Allergy #Peanut #PeanutAllergy #Treatment #ClinicalTrials #EPITOPE #Viaskin #FoodAllergyAwareness #FAACT
