Immunopeptidomics is a key technology in the discovery of targets for immunotherapy and
vaccine development. However, identifying immunopeptides remains challenging due to …

With significant advances in analytical technologies, research in the field of cancer
immunotherapy, such as adoptive T cell therapy, cancer vaccine, and immune checkpoint …

In computational proteomics, machine learning (ML) has emerged as a vital tool for
enhancing data analysis. Despite significant advancements, the diversity of ML model …

Recent developments in machine-learning (ML) and deep-learning (DL) have immense
potential for applications in proteomics, such as generating spectral libraries, improving …

A major scientific drive is to characterize the protein-coding genome as it provides the
primary basis for the study of human health. But the fundamental question remains: what has …

Identification of drug targets and biochemical investigations on mechanisms of action are
major issues in modern drug development. The present article is a critical review of the …

Proteogenomics integrates genomic and proteomic data to elucidate cellular processes by
identifying variant peptides, including single amino acid variants (SAAVs). In this study, we …

Human leukocyte antigen class I (HLA-I) molecules present short peptide sequences from
endogenous or foreign proteins to cytotoxic T cells. The low abundance of HLA-I peptides …

Neoantigens are promising targets for cancer immunotherapy but their discovery remains
challenging, mainly due to the sensitivity of current technologies to detect them and the …

Citrullination is a critical yet understudied post-translational modification (PTM) implicated in
various biological processes. Exploring its role in health and disease requires a …