Biochemistry Professor Peter S. Kim co-led research on a new machine learning-based method for designing antibody drugs. The method was shown to improve a once FDA-approved SARS-CoV-2 antibody that had been discontinued due to ineffectiveness. Credit: Steve Fisch Proteins have evolved to excel at everything from contracting muscles to digesting food to recognizing viruses. To engineer better proteins, including antibodies, scientists often iteratively mutate the amino acids—the units that are arranged in a sequence to make up proteins—in different positions until the resulting protein has an improved function, like eliciting Read More