Researchers have made significant strides in predicting a protein’s structure from its sequence using large language models. However, this method hasn’t been as effective for antibodies, primarily due to their hypervariability. This makes it challenging to identify treatments for SARS-CoV-2 and other infectious diseases. MIT researchers have developed a computational technique that more accurately predicts…