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 …

Prioritization of immunogenic neoantigens is key to enhancing cancer immunotherapy
through the development of personalized vaccines, adoptive T cell therapy, and the …

Major histocompatibility complex (MHC) molecules are expressed on the cell surface, where
they present peptides to T cells, which gives them a key role in the development of T-cell …

The development of an efficient and powerful machine learning (ML) model for materials
property prediction (MPP) remains an important challenge in materials science. While …

Background The number of applications of deep learning algorithms in bioinformatics is
increasing as they usually achieve superior performance over classical approaches …

The field of cancer neoantigen investigation has developed swiftly in the past decade.
Predicting novel and true neoantigens derived from large multi-omics data became difficult …

T-cell specificity to differentiate between self and non-self relies on T-cell receptor (TCR)
recognition of peptides presented by the Major Histocompatibility Complex (MHC) …

Recombinant biopharmaceuticals including antigens, antibodies, hormones, cytokines,
single-chain variable fragments, and peptides have been used as vaccines, diagnostics and …

The intricate interaction between major histocompatibility complexes (MHCs) and antigen
peptides with diverse amino acid sequences plays a pivotal role in immune responses and T …

Motivation Computationally predicting major histocompatibility complex (MHC)-peptide
binding affinity is an important problem in immunological bioinformatics. Recent cutting …