Jacob Ede Levine

Docking-score landscapes shape active-learning performance across Vina, Glide, and SILCS

This study compares four active-learning virtual screening workflows and suggests that combining active learning with SILCS provides a computationally efficient, membrane-aware approach for screening compounds at transmembrane binding sites.