In preliminary experiments with mice and lab-grown cells, Johns Hopkins Kimmel Cancer Center scientists have found that a protein-signaling process accelerates the work of the gene most frequently ...

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.