Jordan Yang

The paper evaluates predictive models for {Phi}X174 bacteriophage viability using biophysical and molecular modeling approaches, finding that large-effect mutations are highly informative for predicting phenotypes.

This study identifies six critical amino acids in NUP153 essential for HIV capsid interaction using computational and experimental methods.

The paper identifies two mutations in TEM beta-lactamase that shift drug specificity through salt bridges, validated by simulations and experiments.

LYRUS predicts the pathogenicity of missense variants using sequence, structure, and dynamics-based features, achieving higher accuracy than existing methods.