Stanford Researchers Harness Deep Learning with GLOW and IVES to Transform Molecular Docking and Ligand Binding Pose Prediction

Deep learning has the potential to enhance molecular docking by improving scoring functions. Current sampling protocols often need prior information to generate accurate ligand binding poses, limiting scoring function accuracy. Two new protocols, GLOW and IVES, developed by researchers from Stanford University, address this challenge, demonstrating enhanced pose sampling efficacy. Benchmarking on diverse protein structures, […]

The post Stanford Researchers Harness Deep Learning with GLOW and IVES to Transform Molecular Docking and Ligand Binding Pose Prediction appeared first on MarkTechPost …

accuracy ai shorts applications artificial intelligence current deep learning editors pick function functions generate harness information molecular docking prediction prior researchers sampling scoring staff stanford stanford university tech news technology university