Researchers have used generative artificial intelligence (AI) to help them make completely new antibodies for the first time. The proof-of-principle work, reported this week in a preprint on bioRxiv, raises the possibility of bringing AI-guided protein design to the therapeutic antibody market, which is worth hundreds of billions of dollars. <\/p>\n
Antibodies \u2014 immune molecules that strongly attach to proteins implicated in disease \u2014 have conventionally been made using brute-force approaches that involve immunizing animals or screening vast numbers of molecules. AI tools that can shortcut those costly efforts have the potential to \u201cdemocratize the ability to design antibodies\u201d, says study co-author Nathaniel Bennett, a computational biochemist at the University of Washington in Seattle. \u201cTen years from now, this is how we\u2019re going to be designing antibodies.\u201d<\/p>\n
Read it all<\/a>.<\/p>\n Researchers have used generative artificial intelligence to help them make completely new antibodies for the first time https:\/\/t.co\/pcb5is20jF<\/a><\/p>\n — nature (@Nature) March 19, 2024<\/a><\/p><\/blockquote>\n \n