A study published in the Journal of Bioresources and Bioproducts establishes quantitative structure-activity relationships ...

In an ambitious collaboration, researchers added 1.8 million high-confidence protein complex structure predictions to the ...

Predicting which proteins bind to each other, or protein-protein interactions, has been a challenge for methods based in computational biology. One of the reasons is primarily due to the vast ...

A team led by researchers at the University of Toronto has created a platform, called SIMPL2, that revolutionizes the study of protein-protein interactions by simplifying detection while improving ...

This year’s Lasker Basic Medical Research Award recognizes the contributions of Demis Hassabis and John Jumper for their invention of the AlphaFold artificial intelligence (AI) system, which predicts ...

Ovarian cancer (OC) is a "silent killer" with an annual incidence of 11.2 per 100,000 and mortality of 7.6 per 100,000. Most cases are diagnosed at advanced stages due to the lack of effective ...

The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...

Proteins are the molecular machines of cells. They are produced in protein factories called ribosomes based on their blueprint—the genetic information. Here, the basic building blocks of proteins, ...

Google spent much of the past year hustling to build its Gemini chatbot to counter ChatGPT, pitching it as a multifunctional AI assistant that can help with work tasks or the digital chores of ...