Konstancja Urbaniak

Integrating computational chemistry and machine learning to predict KRAS mutation-induced resistance

This paper develops a computational framework combining molecular dynamics and machine learning to predict KRAS mutation-induced drug resistance with over 90% accuracy.

Ligand Discrimination in Immune Cells: Signal Processing Insights into Immune Dysfunction in ER+ Breast Cancer

The paper measures ligand discrimination errors and molecular noise in immune cells of ER+ breast cancer patients compared to healthy controls using a communication model.

BaNDyT: Bayesian Network modeling of molecular Dynamics Trajectories

BaNDyT uses Bayesian network modeling to analyze molecular dynamics trajectories, providing data-driven insights into protein function and interactions.