AlphaFold 3 predicts complex immune interactions using protein sequences alone
The Quick Take
Researchers at the Translational Genomics Research Institute (TGen), part of City of Hope, have developed a new approach using the artificial intelligence platform AlphaFold 3 to predict whether a T cell receptor will recognize a specific antigen based solely on its genetic sequence. The advancement could help scientists more rapidly decode immune responses to infectious diseases, tumors and other
Ground Level News aggregates headlines from public feeds. This page shows a short summary only; the full article and all rights belong to Phys.org - latest science and technology news stories.
Related
Science
Mitigating the ecological consequences of light pollution
Light pollution is one of the fastest-growing and least-regulated environmental changes worldwide. It disrupts biological processes at all levels—from genes to…
Science
NASA space telescope plunges to Earth after two decades studying cosmic explosions
One of NASA's premier space telescopes plunged to Earth on Wednesday, ending its 22-year investigation of the universe's biggest explosions.
Science
New data infrastructure service strengthens interdisciplinary research
The "Geolinking Service SoRa" research data infrastructure helps to close a gap in the German research landscape. Many questions—such as those regarding social…
Science
Evolution has repeatedly turned hawkmoth genitals into defensive tools
The genital structures of male hawkmoths are lifesavers. By rubbing specialized scales on their genitals against parts of their abdomen, the nocturnal insects…