DENVIS: scalable and high-throughput virtual screening using graph neural networks with atomic and surface protein pocket features
Agamemnon Krasoulis, Nick Antonopoulos, Vassilis Pitsikalis, Stavros Theodorakis
DENVIS is a virtual screening method using graph neural networks that outperforms docking-based and sequence-based models by avoiding docking steps and using atomic and surface protein features.
Journal of Chemical Information and Modeling · Sep 26, 2022Peer-reviewedBioinformatics