This may look like a tangle of squiggly lines, but you're actually looking at a molecular machine called a ribosome. Its job is to translate DNA sequences into proteins, the workhorse compounds that sustain you and all living things.
The image is also a milestone. It's the first time the atom-by-atom structure of the ribosome has been seen as it's attached to a molecule that controls its motion. That's big news if you're a structural biologist.
But there's another way to look at this image, one that anyone who's suffered a bacterial infection can appreciate. The image is also a roadmap to better antibiotics. That's because this particular ribosome is from a bacterium. And somewhere in its twists and turns could be a weakness that a new antibiotic can target.
"We're in an arms race with the resistance mechanisms of bacteria," says Jamie Cate, a staff scientist in Berkeley Lab's Physical Biosciences Division and a professor of biochemistry, biophysics and structural biology at UC Berkeley.
"The better we understand how bacterial ribosomes work, the better we can come up with new ways to interfere with them," he adds.
Cate developed the structure with UC Berkeley's Arto Pulk. Their work is described in the June 28 issue of the journal Science.
Their image is the latest advance in the push for more effective antibiotics. The goal is new drugs that kill the bacteria that make us sick, stay one step ahead of their resistance mechanisms, and leave our beneficial bacteria alone.
One way to do this is to get to know the bacterial ribosome inside and out. Many of today's antibiotics target ribosomes. A better understanding of how ribosomes function will shed light on how these antibiotics work. This could also lead to even "smarter" molecules that quickly target and disable a pathogen's ribosomes without affecting friendly bacteria.
ate and Pulk used protein crystallography beamlines at Berkeley Lab's Advanced Light Source to create diffraction patterns that show how the ribosome's molecules fit together. They then used computational modeling to combine these patterns into incredibly high-resolution images that describe the locations of the individual atoms.