Skip to main content

Professor makes proteins from scratch


June 11, 2007

Nature, through the trial and error of evolution, has discovered a vast diversity of life from what we can only presume to have been a primordial pool of building blocks. Inspired by this success, a new Biodesign Institute research team, led by John Chaput, is now trying to mimic the process of Darwinian evolution in the laboratory by evolving new proteins from scratch.

Using new tricks of molecular biology, Chaput and co-workers have evolved several new proteins in a fraction of the 3 billion years it took nature.

Their most recent results, published in the May 23 edition of the journal PLoS ONE, have led to some surprisingly new lessons on how to optimize proteins that never have existed in nature before, in a process they call “synthetic evolution.”

“The goal of our research is to understand certain fundamental questions regarding the origin and evolution of proteins,” says Chaput, a researcher in the institute's Center for BioOptical Nanotechnology and assistant professor in ASU's department of chemistry and biochemistry. “Would proteins that we evolve in the lab look like proteins we see today in nature, or do they look totally different from the set of proteins nature ultimately choses? By gaining a

better understanding of these questions, we hope to one day create new tailor-made catalysts that can be used as therapeutics in molecular medicine or biocatalysts in biotechnology.”

The building blocks of proteins are 20 different amino acids that are strung together and “folded” to create the unique globular shape, stability and function of every protein. The mixing and matching of the amino acid chain, like numbers in the lottery, are what favor the odds in nature of finding just the right combinations to help generate biological diversity. Yet no one can predict how the string of amino acids sequence folds to make the 3-D functional structure of a protein. To select the raw ingredients to create the proteins, Chaput's group (Harvard collaborator Jack Szostak, and ASU colleagues Jim Allen, Meitian Wang, Matthew Rosenow and Matthew Smith) began their quest by further evolving a protein selected from a pool of random sequences.

Jack Szostak and Anthony Keefe first made the parental protein in 2001. To achieve their feat, they stacked the odds of finding just one or two new proteins and generated a library of random amino acid sequences so vast – 400 trillion – that it dwarfs the number of items in the entire Library of Congress (134 million).

They started with a small protein stretch 80 amino acids long. This basic protein segment acts as a protein scaffold that can be selected for the ability to strongly clutch its target molecule, ATP (Adenosine triphosphate).

There was only one problem: the parental protein could bind ATP, but it wasn't very stable without it.

“It turns out that protein stability is a major problem in biology,” Chaput says. “As many as half of the 30,000 genes discovered from the human genome project contain proteins that we really don't know what their structure is, or whether or not they would be stable. So, for our goal, we wanted to learn more about the evolution of protein folding and stability.”

Chaput's group decided to speed up protein evolution once again by randomly mutating the parental sequence with a selection specifically designed to improve protein stability. The team also added increasing amounts of guanidine hydrochloride, making it harder for the protein fragment to bind its target (only the top 10 percent of strongest ATP binders remained). After subjecting the protein fragments to several rounds of this selective environmental pressure, only the “survival of the fittest” ATP binding protein fragments remained.

The remaining fragments were identified, and amino acid sequences were compared with one another. Surprisingly, Chaput had bested nature's designs, as the test tube-derived protein remained soluble in the absence of ATP and also remained folded at extremely high temperatures, similar to heat-stable proteins isolated from the hot springs at such places as Yellowstone National Park .

To understand how this information is encoded in a protein sequence, Chaput and colleagues solved the 3-D crystal structures for their evolutionary optimized protein, termed DX, and the parent sequence.

In a surprising result, just two amino acids changes in the protein sequence were found to enhance the binding, solubility and heat stability.

“We were shocked, because when we compared the crystal structures of the parent sequence to the DX sequence, we didn't see any significant changes,” Chaput says. “Yet no one could have predicted that these two amino acids changes would improve the stability of the DX protein compared to the parent.”

The results have helped provide a new understanding of how subtle amino acid changes contribute to the protein folding and stability. Chaput's team has developed the technology potential to take any of nature's proteins and further improve its stability and function.

“We have the distinct advantage over nature of being able to freeze the evolution of our lab-evolved proteins at different time points to begin to tease apart this random process and relate it to the final protein function,” Chaput says.

Chaput plans on further expanding his efforts to evolve proteins with new therapeutic features or catalytic functions.