Rachel Alcraft

The paper identifies BRCA1/2 reversion mutations associated with drug resistance in cancer patients and highlights key domains critical for resistance.

This study validates folding energy estimates for variant interpretation, showing that while correlation coefficients are low, the method can improve prediction accuracy by identifying and addressing outlier residues.

This study develops a computational framework to model M1 and M2 macrophages in RA, identifying potential therapeutic targets through Boolean modeling and gene expression validation.