Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.

MIT researchers have developed a computational technique that allows large language models to predict antibody structures more accurately. Their work could enable researchers to sift through millions of possible antibodies to identify those that could be used to treat SARS-CoV-2 and other infectious diseases.

Check out the full article here: https://www.wevolver.com/article/a-new-computational-model-c…accurately.