Unraveling structure and function relationships in synthetic cell receptors
Northwestern University researchers have identified structural features in engineered cell receptors that correlate with variations in receptor function.
AI system predicts protein fragments that can bind to or inhibit a target
All biological function is dependent on how different proteins interact with each other. Protein-protein interactions ...
New AI model deciphers the code in proteins that tells them where to go
Proteins are the workhorses that keep our cells running, and there are many thousands of types of proteins in our cells, each performing a specialized function. Researchers have long known that the ...
Disrupting parasite gene regulation reveals new malaria intervention strategy
The parasite that causes malaria requires precise control of gene expression to progress through the various stages of its ...
GEN4d
AI-Guided Receptor Engineering to Improve Performance in Cell Therapies
Using protein structure prediction tools, researchers have uncovered receptor structure-function relationships to improve cell therapies.
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AI model deciphers protein code that tells them where to go
AlphaFold, an AI tool, predicts protein structure from amino acid sequences. MIT researchers, led by Professor Richard Young, have developed ProtGPS, a model that predicts where proteins localize ...