Science Success Story

« Back

Microscopic ... and Huge

XSEDE-allocated Bridges supercomputer powers visualization of whole viruses at atomic level

By Ken Chiacchia, Pittsburgh Supercomputing Center

The T4 virus (left), modified to contain coat proteins from HIV, the AIDS virus (center), and the plague bacterium (right).

 

Math is central to science. But human beings are a very visual species. Sometimes, in addition to the math, we need a picture to really understand what's going on. Scientists have had a lot of success visualizing all the atoms in biomolecules with precision using computers. But some larger systems, such as whole viruses, have been beyond computers' ability to visualize.

In these cases, we rely on scientific artists, who use the best science available but still need to make interpretations. One famous example of this is the T4 bacteriophage, a virus that infects bacteria. Artists render it as something like a NASA lunar module. Something that looks like landing gear hangs at the bottom. A giant head at top contains the DNA payload that is so deadly to the bacteria it infects. But how accurate are these pictures? Artists may get the images mostly right. But they can't know exactly how all the pieces fit together, which is what scientists need if they want to, for example, engineer T4 to kill the bacteria that cause diseases in humans.

"The goal of structural analysis is to investigate the interactions at atomic level between proteins. From there we can do many things. For example, we can…engineer the tail fibers of T4 to interact with the membrane proteins of other bacteria than E. coli. Or we can introduce [therapeutic] genetic material into other cells."—Victor Padilla-Sanchez, Catholic University of America

Victor Padilla-Sanchez of Catholic University of America creates accurate computer-generated pictures of whole viruses. This is no small matter. Computer modeling has improved greatly over the years. But the state of the art today is to render pictures of protein assemblies that contain at most about 10 million  atoms.

Visualizing whole viruses, on the other hand, involves structures that contain hundreds of millions of atoms. To achieve this, Padilla-Sanchez turned to the clever use of all the biochemical and microscope data available about a given virus and assembling the images in pieces, using the graphics processing unit (GPU) nodes and large memory of the XSEDE-allocated Bridges supercomputer located at the Pittsburgh Supercomputing Center.

Time series (left to right) of a T4 virus landing on a bacterium's surface.

How XSEDE Helped

The images that Padilla-Sanchez wanted to create would require juggling huge amounts of data. To render the images, the computer would have to access something like a terabyte of memory. Supercomputing systems like that are not widely available—an XSEDE allocation made the work possible via Bridges, which with 42 of its 3-terabyte large-memory (LM) nodes had the power necessary for the job.

In previous work with computers at the Oak Ridge National Laboratory, Padilla-Sanchez assembled atom-by-atom images of T4 and HIV, the virus that causes AIDS. Using the University of California, San Francisco Chimera software, he used the computer to match the known 3D structures of the individual proteins in the virus to the low-resolution outlines of cryo-electron microscope images of the virus.

"XSEDE adds a lot of value to this project. With a regular computer we are able to visualize and analyze only small molecules, which amounts to one protein or two protein oligomers. With XSEDE, I have the power to visualize and analyze large macromolecular complexes like entire [viruses] and beyond (bacteriophage t4 virus, hiv-1 virus and so on). I have been using XSEDE for one year and the research I have been able to achieve wouldn't be possible [otherwise]. It is a matter of scale. Bridges provide the power to go to entire organisms. Without Bridges I can't analyze the structures I want and therefore my research would not be possible."—Victor Padilla-Sanchez, Catholic University of America

Two of Padilla-Sanchez's new visualizations with Bridges LM included an image of three T4 viruses. One has its natural coat proteins. The other two have been virtually engineered to display the coat proteins from HIV-1 or the plague bacterium. These two could be vaccine candidates for AIDS or the plague. Another Bridges image is a time series showing a T4 phage "landing" on the surface of a bacterium, much like a lunar lander coming down. Each of these images will be useful in engineering T4's behavior to serve medical purposes. Padilla-Sanchez reported these results in the proceedings of the IEEE VIS 2019 conference in Vancouver in October.

Next steps will include imaging larger systems, as well as T4 engineered to serve as a vaccine. Padilla-Sanchez plans to expand his software to include Maestro—software that handles better electrostatics visualization and has many other features that Chimera does not have—and ChimeraX, a next-generation version of Chimera with improved functionality.

In the future, with more powerful computers, such predicted structures may be used to run molecular dynamics simulations studying the movements of proteins within whole viruses rather than the static pictures now possible. He plans to investigate the movements of T4 to start with, and then move on to other organisms.

See the presentation.

At a Glance

  • An image can help human beings make connections.
  • That's why a scientist from Catholic University of America is using the large-memory nodes of the XSEDE-allocated Bridges system to put together some of the largest assemblies of proteins ever pictured.
  • Thanks to Bridges' powerful nodes with large amounts of memory, he has created images of whole viruses with atomic-level detail.
  • These images will help engineer those viruses as vaccines or other medical therapies.