With the development and regulatory approval of immune checkpoint inhibitors and adoptive
cell therapies, cancer immunotherapy has undergone a profound transformation over the …

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), is a prevalent global
infectious disease and a leading cause of mortality worldwide. Currently, the only available …

Protein language models have shown remarkable success in learning biological information
from protein sequences. However, most existing models are limited by either autoencoding …

T cell receptor (TCR)-peptide-major histocompatibility complex (pMHC) interactions play a
vital role in initiating immune responses against pathogens, and the specificity of TCRpMHC …

Computational prediction of the interaction of T cell receptors (TCRs) and their ligands is a
grand challenge in immunology. Despite advances in high-throughput assays, specificity …

Introduction Neoantigen-based immunotherapy has emerged as a promising strategy for
improving the life expectancy of cancer patients. This therapeutic approach heavily relies on …

Immunotherapy represents a promising strategy for cancer treatment that utilizes immune
cells or drugs to activate the patient's own immune system and eliminate cancer cells. One of …

Motivation T cells play an essential role in adaptive immune system to fight pathogens and
cancer but may also give rise to autoimmune diseases. The recognition of a peptide–MHC …

Despite marked advancements in cancer immunotherapy over the past few decades, there
remains an urgent need to develop more effective treatments in humans. This review …

Artificial-intelligence and machine-learning (AI/ML) approaches to predicting T-cell receptor
(TCR)-epitope specificity achieve high performance metrics on test datasets which include …