A fundamental prerequisite for the efficacy of cancer immunotherapy is the presence of
functional, antigen-specific T cells within the tumor. Neoantigen-directed therapy is a …

Proteomics, the study of all the proteins in biological systems, is becoming a data‐rich
science. Protein sequences and structures are comprehensively catalogued in online …

Human leukocyte antigen (HLA) can recognize and bind foreign peptides to present them to
specialized immune cells, then initiate an immune response. Computational prediction of the …

The remarkable success of cancer therapies with immune checkpoint blockers is
revolutionizing oncology and has sparked intensive basic and translational research into the …

The prediction of epitope recognition by T-cell receptors (TCRs) has seen many
advancements in recent years, with several methods now available that can predict …

Neoantigens play important roles in cancer immunotherapy. Current methods used for
neoantigen prediction focus on the binding between human leukocyte antigens (HLAs) and …

Abstract Human Leukocyte Antigen (HLA) is a type of molecule residing on the surfaces of
most human cells and exerts an essential role in the immune system responding to the …

Proteins mainly perform their functions by interacting with other proteins. Protein–protein
interactions underpin various biological activities such as metabolic cycles, signal …

In the present work, we report on the modelling of processes at the zinc oxide and
polydopamine (ZnO/PDA) interface. The PDA layer was deposited onto ZnO nanorods (NRs) …

Over the past few years, deep learning has demonstrated itself to be a powerful tool in many
areas, especially bioinformatics. With its previous success in DNA and protein related …