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Content Marked with: Anandasankar Ray

AI-based method predicts smell of chemicals

AZOROBOTICS -- With the help of machine learning, two scientists from the University of California, Riverside (UCR) have effectively interpreted the smell of chemicals—a breakthrough study that could prove useful in the fragrance and food flavor sectors. "We now can use artificial intelligence to predict how any chemical is going to smell to humans. Chemicals...
By Staff | AZoRobotics |

Manipulating mosquito behavior through their odorant receptors

UC Riverside researchers have published a paper in Cell Reports that addresses an important question in the field of sensory receptor function, particularly for some odorant receptors that function as “heteromers” — receptors with more than one subunit: How do the different subunits of a receptor contribute to the detection of different ligands? Ligands are...
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