Christian Chung

This paper benchmarks six molecular docking and co-folding engines across 14 protein families, finding that engine performance depends on structural and physical characteristics of the target.

This study benchmarks five computational methods for BACE1 drug discovery, finding that RevFEP best correlates with experimental binding free energies.

This paper designs and implements synthetic gene circuits to program axial elongation in mammalian cell aggregates by controlling proliferation, tissue fluidity, and cell-cell signaling.

This paper introduces a hybrid machine learning model for protein classification using amino acids, achieving 95% accuracy and outperforming existing methods by 15%.

This paper reviews 10 monoclonal antibodies, analyzes their pharmacokinetic and pharmacodynamic properties, and uses a machine learning model to assess subcutaneous bioavailability and optimize drug delivery.