IEEE

DGCA-DTA: A Deep Graph Neural Network Based on Co-Attention for Drug Target Affinity Prediction

Abstract: Accurately predicting drug-target affinity (DTA) is a critical step in drug discovery and design. By utilizing deep learning methods for DTA prediction, the drug development cycle can be ...
IEEE

Graph Clustering-guided Multi-view Neighborhood-enhanced Graph Contrastive Learning for Drug-Target Interaction Prediction

Abstract: Drug-target interaction (DTI) identification is of great significance in drug development in various areas, such as drug repositioning and potential drug side effects. Although a great ...
Hosted on MSN

Drug dealer splashed cash on bikes, Rolex and designer clothes

A father and son formed a joint enterprise in the illegal supply of Class A drugs. Jamie Seiga, 33, used the Encrochat handle DustCherry - which he shared with his dad - to organise, buy and sell ...
Morningstar

Genesis Molecular AI Unveils Pearl, a Field-Leading Foundation Model that Achieves Unprecedented Performance in Drug-Protein Structure Prediction

Genesis’ proprietary foundation model – Pearl – outperforms frontier models, including AlphaFold 3, on key benchmarks that predict utility in real-world drug discovery Pearl’s performance improved ...