Prospective de novo drug design with deep interactome learning
De novo drug design aims to generate molecules from scratch that possess specific
chemical and pharmacological properties. We present a computational approach utilizing …
chemical and pharmacological properties. We present a computational approach utilizing …
Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistry
Suzuki cross-coupling reactions are considered a valuable tool for constructing carbon–
carbon bonds in small molecule drug discovery. However, the synthesis of chemical matter …
carbon bonds in small molecule drug discovery. However, the synthesis of chemical matter …
Exploring protein–ligand binding affinity prediction with electron density-based geometric deep learning
Rational structure-based drug design relies on accurate predictions of protein–ligand
binding affinity from structural molecular information. Although deep learning-based …
binding affinity from structural molecular information. Although deep learning-based …