Hundreds of protein-ligand interactions have been identified through a collaboration between the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences and Pfizer. Georg ...
Scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like hormones or drugs, opening up a world of possibilities in the computational design ...
A new study from Oregon Health & Science University has uncovered how small molecules within bacteria interact with proteins, ...
WEST LAFAYETTE, Ind. – Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions ...
Researchers have created a platform, called SIMPL2, that revolutionizes the study of protein-protein interactions by simplifying detection while improving measurement accuracy. While protein-protein ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
1yon MSN
Machine learning cracked the protein-folding problem and won the 2024 Nobel Prize in chemistry
The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle ...
CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...
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