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Revolutionizing Drug Discovery: MOLRL Combines Reinforcement Learning and Generative Models for Targeted Molecular Generation
Cellarity, Inc., and NVIDIA have unveiled MOLRL (Molecule Optimization with Latent Reinforcement Learning), a groundbreaking framework for molecular optimization. This approach leverages the latent...
25 New Compounds: How Scripps Research Uses Computer Modeling to Transform Drug Discovery
In an extraordinary feat of chemical synthesis, chemists from Scripps Research have produced 25 picrotoxane molecules. This groundbreaking work combines cutting-edge computational modeling and...
How Evolla is Deciphering the Molecular Language of Proteins with an 80 Billion Parameter...
The complex molecular machinery that make up nature, proteins have evolved over billions of years and are essential to the continuation of life. However,...
USC Researchers Unveil METAGENE-1: Advancing Pathogen Detection and Pandemic Monitoring
In the ever-evolving world of infectious diseases, early detection and monitoring play a critical role in combating pandemics. In a groundbreaking collaboration, researchers from...
University of Washington Researchers Revolutionize Beta-Barrel and Transmembrane Nanopore Design Using Deep Learning Tools
A team of researchers from the University of Washington has made significant strides in protein design by addressing long-standing challenges in creating beta-barrel structures....