For more than 100 years, scientists have been using X-ray crystallography to determine the structure of crystalline materials such as metals, rocks, and ceramics. This technique works best when the ...

Through new improvements to existing AI models, researchers in China have created a framework that can methodically identify useful new forms of solid carbon. With their approach, Zhibin Gao and ...

A research team led by a Duke professor recently developed a novel computational model to predict antibody structures, a significant breakthrough for disease prevention efforts. A study published in ...

Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar ...

Researchers developed a fully open-source biomolecular structure prediction model that achieves state-of-the-art performance, at the level of AlpahFold3, in an effort to democratize biomedical ...