Scaffold Hopping with Generative Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Chemical Information and Modeling"
DOI: 10.1021/acs.jcim.5c00029
Abstract: Scaffold hopping–the design of novel scaffolds for existing lead candidates–is a multifaceted and nontrivial task, for medicinal chemists and computational approaches alike. Generative reinforcement learning can iteratively optimize desirable properties of de novo designs, thereby… read more here.
Keywords: generative reinforcement; molecule; generation; scaffold hopping ... See more keywords
GRN+: a simplified generative reinforcement network for tissue layer analysis in 3D ultrasound images for chronic low-back pain
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.12.4.044001
Abstract: Abstract. Purpose 3D ultrasound delivers high-resolution, real-time images of soft tissues, which are essential for pain research. However, manually distinguishing various tissues for quantitative analysis is labor-intensive. We aimed to automate multilayer segmentation in 3D… read more here.
Keywords: generative reinforcement; segmentation; analysis; grn ... See more keywords