C. Kesmir

A novel bioinformatics pipeline for the identification of immune inhibitory receptors as potential therapeutic targets

The paper introduces a bioinformatics pipeline to identify known and putative immune inhibitory receptors as therapeutic targets using machine learning and transcriptomics data.

ProRafts A machine-learning predictor for raftophilicity, the protein affinity for biomembrane rafts.

ProRafts predicts raftophilicity of mammalian proteins using machine learning, achieving over 80% accuracy on human proteins and showing cross-species applicability.

Identification of a novel conserved signaling motif in CD200 Receptor required for its inhibitory function

The paper identifies a unique conserved signaling motif in CD200R that mediates its inhibitory function, distinct from the common NPxY motif.

Negative T cell selection on non-random peptides promotes robust self-nonself discrimination

The paper shows that negative T cell selection on non-random peptides enables robust self-nonself discrimination despite incomplete silencing of self-reactive cells.