Traditional vaccines contain PAMPs and induce strong immune responses, while recombinant vaccines are less potent. In spite of the immunogenic weakness previously attributed to epitope-based vaccines ...

T cell epitope-driven vaccine design employs bioinformatic algorithms to identify potential targets of vaccines against infectious diseases or cancer. Potential epitopes can be identified with ...

1 Transplantation Immunobiology Group, Sydney Medical School, University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia 2 Department of Biochemistry and Immunity Program, Monash ...

Understanding where and how an antibody binds to its target protein is important for understanding how the antibody performs its function, whether that function is neutralizing a pathogen during an ...

In frame translation initiation sites within coding sequences drive the expression of N-terminally truncated proteoforms.

Using a curated dataset of over 650,000 unique human leukocyte antigen (HLA) ligands and cutting-edge AI architectures, MUNIS significantly outperformed existing epitope prediction models.

Wide areas of the pharmaceutical industry are ripe for enhancement, as examples from the industry’s top innovators reflect.

AI algorithms help in the analysis of immunogenetic data and enhance the prediction of the immune system. AI also helps in the development of innovative algorithms for epitope discovery, and ...

A bioinformatics best-practice analysis pipeline for epitope prediction and annotation ...

A technique the lab invented, known as Electron Microscopy-Based Polyclonal Epitope Mapping, or EMPEM, let the researchers see exactly where ... Implementation of any vaccine stemming from this ...