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Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
State-of-the-art AI programs can support the development of drugs by predicting how proteins interact with small molecules.
Researchers from the University at Albany and NYU Grossman School of Medicine have found a way to block a key cellular ...
By combining mass spectrometry imaging with an automated analysis tool, researchers from Hebrew University have developed a ...
News-Medical.Net on MSN
Integrating physicochemical laws into future AI models for better drug design
Proteins play a key role not only in the body, but also in medicine: they either serve as active ingredients, such as enzymes ...
Drug company Eli Lilly and NVIDIA announced a new partnership to build a supercomputer for drug research. Drug manufacturer ...
Synopsys Spotlights Agentic AI, Accelerated Computing, and AI Physics at NVIDIA GTC Washington, D.C.
Synopsys, Inc. is attending NVIDIA GTC Washington, D.C. October 27-29 to showcase advancements in engineering solutions from ...
News-Medical.Net on MSN
AI indelibly transforms solid tumor drug development
The integration of single-cell RNA sequencing (scRNA-seq) with AI has become a cornerstone for deciphering tumor heterogeneity. For instance, in pancreatic ductal adenocarcinoma (PDAC), spatial ...
GLP-1 drugs were initially developed for type 2 diabetes but are now widely used to treat obesity. Novo Nordisk and Eli Lilly lead in GLP-1 drug production, with others like Viking Therapeutics ...
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