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Proteins are life's molecular workhorses, doing everything from turning sunlight into food to fighting viruses. They are ...
These proteins can have too many conformations for researchers to keep track of, says Kejia Wu, a postdoctoral researcher ...
Researchers present two deep-learning models that can predict amino acid sequences and 3D protein structures based on secondary-structure design objectives. These models offer de novo design ...
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News-Medical.Net on MSNExplainable AI helps decode the substrate specificity of γ-secretase enzymeUsing artificial intelligence, researchers show how γ-secretase recognizes substrates - an important advance for fundamental ...
The experiment demonstrates that natural language processing, though developed to read and write language text, can learn at least some of the underlying principles of biology. Salesforce Research ...
Every protein studied was assigned a matrix, and with computational tools, thousands were compared at once. The LCRs could then be categorized by the amino acid that was most prevalent. Proteins were ...
Using artificial intelligence, researchers show how γ-secretase recognizes substrates – an important advance for fundamental and translational research.
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AZoLifeSciences on MSNResearchers Uncover Complex Substrate Profile for Enzyme ActionResearch on γ-secretase reveals its unique substrate recognition mechanism, offering potential for developing precise ...
Keywords protein synthesis, amino acids, mRNA, ribosome, tRNA, initiation factors, dynamic interactions, translation, genetic instructions Email us at [email protected] if you have questions ...
To create the model, scientists simply fed the amino acid sequences of 280 million different proteins of all kinds into the machine learning model and let it digest the information for a couple of ...
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