Looking beyond natural sequences

Researchers at MIT developed PottsMPNN, a machine-learning framework that improves protein sequence design by understanding the relationship between amino acid sequences and protein stability, enabling design of novel proteins beyond natural sequences. This approach moves beyond replicating natural sequences, focusing instead on the likelihood that sequences fold into desired structures and predicting mutation effects.