Must Read
Exploring the Uncharted: How FoldTuned Language Models Reveal Hidden Sequence-Structure Insights
The study of the entire protein sequence-structure map has historically been hampered by the combinatorial scale of amino acid sequence space. The wide unexplored...
Penn Researchers Use Deep Learning to Design Multimodal Antibiotics for Combating Intracellular Infections
The rise of antimicrobial resistance has made treating intracellular infections a significant challenge, as conventional antibiotics often fail to neutralize pathogens hidden within human...
Quantum-Si Unveils ProteoVue™ to Unlock New Frontiers in Protein Variant Detection with Next-Generation Protein...
Single-molecule Next-Generation Protein Sequencing (NGPS) provides a powerful alternative to mass spectrometry for analyzing protein variants, allowing detailed identification of proteoforms and amino acid...
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...