François D. Rouleau

This paper trains a machine learning model to predict antifolate resistance mutations in Pneumocystis jirovecii using experimental data and computational modeling, finding mutations that confer resistance to trimethoprim-sulfamethoxazole.

The paper curates AMR mutations in fungi to create FungAMR, identifies universal resistance mutations, and provides a tool to screen genomes for AMR mutations.

Toeholder is a software tool for automated design and in silico validation of toehold riboswitches, incorporating experimental data and molecular dynamics simulations.

BFG-PCA is a high-throughput method for discovering binary protein interactions using DHFR-PCA, showing high sensitivity and specificity across human and yeast protein pairs.