Computer-aided discovery of vaccine targets has become a cornerstone of rational vaccine
design. In this article, I discuss how Machine Learning (ML) can inform and guide key …

Cancer immunotherapy has witnessed rapid advancement in recent years, with a particular
focus on neoantigens as promising targets for personalized treatments. The convergence of …

Accurate prediction of antigen presentation by human leukocyte antigen (HLA) class II
molecules is crucial for rational development of immunotherapies and vaccines targeting …

Prediction of T-cell receptor (TCR) interactions with MHC-peptide complexes remains highly
challenging. This challenge is primarily due to three dominant factors: data accuracy, data …

Post-translational modification (PTM) of antigens provides an additional source of
specificities targeted by immune responses to tumors or pathogens, but identifying antigen …

Predicting the interaction between Major Histocompatibility Complex (MHC) class I-
presented peptides and T-cell receptors (TCR) holds significant implications for vaccine …

Human leukocyte antigen (HLA) class II antigen presentation is key for controlling and
triggering T cell immune responses. HLA-DQ molecules, which are believed to play a major …

The passage of proteins across biological membranes via the general secretory (Sec)
pathway is a universally conserved process with critical functions in cell physiology and …

Leveraging computation in the development of peptide therapeutics has garnered
increasing recognition as a valuable tool to generate novel therapeutics for disease-related …

Sparked by the development of genome sequencing technology, the quantity and quality of
data handled in immunological research have been changing dramatically. Various data …