Patrick Brendan Timmons

APPTEST predicts peptide tertiary structures from primary sequences using neural networks and simulated annealing, outperforming existing methods across short, long, and cyclic peptides.

The paper introduces ENNAVIA, a deep learning model for predicting antiviral and anti-coronavirus peptide activity, achieving high accuracy on experimental data.