The STING protein, known for helping cells fight viral infections by generating inflammation, also appears to function as a ...

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive ...

It's a surprisingly tricky question: the body's glycemic response to different foods varies based on individual genetics, microbiomes, hormonal fluctuations, and more. Because of that, providing ...

For the first time, scientists have built a detailed, interactive map of a human cell, revealing how thousands of proteins ...

Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science. Potentially, the models will assist the medical sciences in overcoming present ...

A new set of artificial intelligence models could make protein sequencing even more powerful for better understanding cell biology and diseases.

Herein, we investigated thyroid function in euthyroid and children with SH using a structure parameter inference approach (SPINA) model along with published ... Serum TSH, FT4, Thyroglobulin (TG-Ab) ...

Every AI model trained for biology only can see what’s illuminated by the data points it is trained on. AlphaFold succeeded in predicting protein structures because the 200,000 or so known ...

DeepSeek released an upgrade to its large language model this week, an update the company said featured “significant improvements” over its predecessor as the China-based startup appeared to ...

Protein powder comes from different sources, including milk, plants, and eggs. It goes through a series of steps to become protein powder. Protein powder is a popular supplement some people use to ...