Benjamin Garrett Vincent

The paper reports the discovery of TCRs specific to vaccine peptides in a patient with osteosarcoma following personalized neoantigen vaccination and in vitro expansion.

The paper predicts pMHC-I binding stability using a protein language model, showing improved performance over existing methods and demonstrating its utility in immunogenicity and antigen-presentation modeling.

This study identifies a stable immunodominance hierarchy of tumor antigens in a murine bladder cancer model under anti-PD1 and anti-CTLA4 therapy, suggesting broad antigen selection could improve immunotherapy.

This study shows alcohol use reduces anti-PD1 immunotherapy efficacy in cancer patients and mouse models by impairing T cell function and anti-tumor immunity.

TCR-TRANSLATE generates antigen-specific TCR sequences using seq2seq models, achieving validated CDR3β sequences for unseen antigens but with limitations in validation scope and focus.

This pilot study tested antisense oligonucleotides targeting NUTM1 in NUT carcinoma cell lines but found no selective inhibition, highlighting the need for further ASO optimization.

ACE optimizes ELISpot assay design by using an epitope similarity model to reduce false positives and improve efficiency.

The paper evaluates long-read and short-read fusion detection tools using simulated data and identifies LongGF as the most effective long-read tool.

This study investigates the association between predicted minor histocompatibility antigens (mHAs) and clinical outcomes in allogeneic hematopoietic cell transplantation using multivariate survival models.

STIG generates synthetic T cell receptor sequencing data for evaluating repertoire inference tools using customizable virtual repertoires and simulated sequencing.