C. Kesmir

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

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

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

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