Proteins are little Olympians in the games of life, racing around cells to trigger critical processes through interactions with specific genes. Sometimes they’re sprinters, sometimes hurdlers. But they generally find their genetic targets, whatever the obstacles.
In doing so, Rice biophysicist Anatoly Kolomeisky and his team said they are helping to resolve seeming conflicts between other studies on how proteins carry out their biological tasks. The authors, including postdoctoral researcher Alexey Shvets and graduate student Maria Kochugaeva, set out to see how proteins actively seeking a target deal with blocking proteins.
Dynamic vs. Static Obstacles
In computer simulations, they established cases where the obstacle is static on DNA, a hurdle to be overcome, and others where the obstacle is dynamic, repeatedly landing on and disassociating from the strand.
“Most previous theories assume there’s only DNA and the protein, but there’s no obstruction between the protein and its target,” Kolomeisky said. “In reality, there are obstructions, and a lot of them. Cells are very crowded systems. The surprising thing is that a protein still manages to find its target sequence efficiently. But how?
We decided to look at these things because the literature has theoretical studies with contrary results,” he said. “One says obstacles are good; another says obstacles are bad. What we’re saying in unifying them is that, yes, sometimes they’re good and sometimes bad. People were looking at specific regimes or parameters and thinking theirs was a general case.”
Attacking the Challenge in Stages
In the researchers’ simplest simulation, the seeker protein is a sprinter, alighting on DNA and probing for its target, usually finding it in milliseconds.
If the target is on the other side of an obstacle, the seeker becomes a hurdler: It eventually disassociates and continues searching. But if it falls within a segment shortened by an obstacle, the seeker finds it faster.
“This was a surprise, that the presence of the obstacle is not always a bad thing,” Kolomeisky said.
“But in reality, obstacles are not static. Taking things step by step, we went to the next, where obstacles bind and unbind to the same place on DNA.
Even in these more-complex models, seeker proteins found benefits, he said. “Dynamic obstacles are generally better than static because sometimes they go away.”
Kolomeisky said the study serves as a baseline for the lab, which will now turn its attention to a more complex scenario in which obstacles can also sprint along DNA, like a moving hurdle.
Alexey Shvets, Maria Kochugaeva, and Anatoly B. Kolomeisky
The Role of Static and Dynamic Obstacles in the Protein Search for Targets on DNA
The Journal of Physical Chemistry B DOI: 10.1021/acs.jpcb.5b09814
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