Medical Xpress November 4, 2024
From sending cancer into remission to alleviating COVID-19 symptoms, immunotherapy can provide revolutionary disease treatments. Immunotherapies use antibodies—proteins that bind to cell markers called antigens—to target and eliminate the antigen. But despite how effective immunotherapy can be, it isn’t widely used because finding the right antibodies to develop treatments is challenging, time-consuming work.
Georgia Tech researchers are making this process a little easier, though. Their new tool, AF2Complex, used deep learning to predict which antibodies could bind to COVID-19’s infamous spike protein. The researchers created input data for the deep-learning model using sequences of known antigen binders.
This method correctly predicted 90% of the best antibodies in one test with 1,000 antibodies and was published in Proceedings of the National...
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