Scientists at Harvard University have developed a computer model that, for the first time, can fully map and predict how small proteins fold into three-dimensional, biologically active shapes. The work could help researchers better understand the abnormal protein aggregation underlying some devastating diseases, as well as how natural proteins evolved and how proteins recognize correct biochemical partners within living cells.
The technique, which can track protein folding for some 10 microseconds – about as long as some proteins take to assume their biologically stable configuration, and at least a thousand times longer than previous methods – is described this week in the Proceedings of the National Academy of Sciences (PNAS).
“For years, a sizable army of scientists has been working toward better understanding how proteins fold,” says co-author Eugene I. Shakhnovich, professor of chemistry and chemical biology in the Faculty of Arts and Sciences. “One of the great problems in science has been deciphering how amino-acid sequence – a protein’s primary structure – also determines its three-dimensional structure, and, through that, its biological function. Our paper provides a first solution to the folding problem for small proteins at an atomic level of detail.”