image: (left) The strand order swapping in de novo design of larger alpha-beta proteins has been a long-standing problem for the research team. (right) Backbone ensembles generated from folding simulations identified that backbone strain caused the strand swapping. view more
Credit: NINS/IMS
A team from Japan and the United States has identified the design principles for creating large "ideal" proteins from scratch, paving the way for the design of proteins with new biochemical functions.
Their results appear June 24, 2021, in Nature Communications.
The team had previously developed principles to design small versions of what they call "ideal proteins," which are structures without internal energetic frustration.
Such proteins are typically designed with a molecular feature called beta strands, which serve a key structural role for the molecules. In previous designs, the researchers successfully designed alpha-beta proteins with four beta strands.
"The ideal proteins we have created so far are much more stable and more soluble than proteins commonly found in nature. We think these proteins will become useful starting points for designing new biochemical functions of interest," said co-first author Rie Koga, researcher in Exploratory Research Center of Life and Living Systems of Japan's National Institutes of Natural Sciences (NINS).
The team found that while the designed proteins were structurally ideal, they are too small to harbor functional sites.
"We set out to test the generality of the design principles we developed previously by applying them to the design of larger alpha-beta proteins with five and six beta strands," said co-first author Nobuyasu Koga, associate professor in the Institute for Molecular Science of NINS.
The results were puzzling. They found that their experimental structures differed from their computer models, resulting in proteins that folded differently by swapping the internal locations of their beta strands. The team struggled with the strand swapping puzzle, but by iterating between computational design and laboratory experiments, they reached a conclusion.
"We emphasize that experimental structure determination is important for iterative improvement of computational protein design," said co-first author Gaohua Liu, chief scientific officer of Nexomics Biosciences.
"Sometimes we learn the most from these ideal proteins when their experimental structures differ, rather than match, their intended design, since this can lead to a deeper understanding of the underlying principles", added Gaetano Montelione, co-author and professor of chemistry and chemical biology at Rensselaer Polytechnic Institute.
The reason for the strand swapping, they determined, was due to the strain of the whole system on the foundational backbone structure. According to Nobuyasu Koga, the strain is global, instead of connection to connection. Proteins can adjust the length and register of strands across the system to alleviate this backbone strain.
Next, the researchers plan to continue studying the trade-off between more functional proteins with what could be considered less-than-ideal qualities.
"We would like to design proteins with more complex functional sites by incorporating non-ideal features such as longer loops, which are important not only for function but also for relieving global backbone strain," said David Baker, co-author and professor of biochemistry at the University of Washington.
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Journal
Nature Communications