To combat viral diseases like HIV and Zika, scientists need to understand the “life cycle” of the virus and design drugs to interrupt it.
But seeing what virus proteins do inside living cells is extremely difficult, even with the most powerful imaging technologies.
Now scientists have developed an innovative supercomputer model of HIV that gives real insight into how a virus matures and becomes infective.
“We could do this for Zika virus, for Ebola.”
“Understanding the details of viral maturation is considered a holy grail,” says Gregory Voth, a chemistry professor at the University of Chicago who built the model with research scientist John Grime. “It has a set of processes that are incredibly hard to stop.
“With our model, we’ve discovered a key set of dynamical steps in the maturation process. And we think we’ve identified two core aspects of HIV.”
To mature and become infective, a virus must grow a little pear-shaped capsule called the capsid, which is made of proteins that wrap themselves around the RNA that will allow the virus to replicate. “This is the thing that’s going to get shot into a new cell and release its contents,” says Voth. “The capsid is like a little armor-plated container that carries with it the genetic material of the virus. And it is a diabolical delivery device.”
How the capsid grows
Voth and Grime’s model illuminates in detail how the capsid grows in HIV, something difficult to examine in real life because the capsid is tiny and surrounded by other material.
“That’s where computer simulations are so powerful,” Voth says. “And in computer simulations you can turn things on and off, which you can’t do in reality. It makes a huge difference in what you learn. It’s not reality, but if the model’s good it can be pretty darn close.”
Voth and Grime worked with data and real-world images from experimental collaborators at the University of Virginia and the California Institute of Technology to make sure that their model was consistent with experimental findings. “Their important work helped us to build the model and validate it,” Voth says.
After the HIV virus infects a cell it forms a “bud” on the cell’s surface—a virus particle that contains some cell membrane, proteins, and the virus’s RNA. The bud breaks free of the cell as the “virion” and travels in the body.
During that traveling period, critical proteins inside the bud are cut into bits by the enzyme HIV protease—the target of many of today’s anti-HIV drugs. Some 1,200 of these protein bits pair up and assemble themselves into the capsid, enclosing the RNA.
Conditions inside the virion are crowded. And that crowding turns out to be critical to whether a capsid can form or not.
“With our simulations we can make it more and less crowded and you see a remarkable sensitivity to that,” Voth says. Too little crowding, and the proteins are likely to speed past each other without interacting. Too much, and they grow useless bits and pieces.
But Voth and Grime found that even with a Goldilocks-like “just right” amount of crowding in their model, the capsid didn’t grow properly.
“We’d grow too much. Or we’d start growing multiple pieces of the shell and they wouldn’t stick together in the right way, so you’d get a bunch of crazy-looking structures,” Voth says. “We were fundamentally missing something.”
Flipping and dancing
After a year of further work, they realized that before the protein bits pair up and add themselves to the growing capsid shell they are in constant motion, flipping and dancing around. For them to connect to each other and to the capsid they had to be oriented properly. This meant that only a few of them could participate in building the structure at any given time.
“We discovered that the contortions of these proteins are very important to limiting how fast these structures can grow, so it’s just right,” Voth says. “When we built that into the model, guided by published experimental data, that was the secret.”
A large part of building a computer model is deciding what to leave out of it so that it is computationally tractable.
“We develop methods to simplify the calculations while retaining their physical essence,” says Voth. “And that opens up very broad frontiers of what can be studied that hasn’t been possible before.”
But even though it is simpler than what exists in nature, the HIV capsid model is tremendously complex. It took millions of hours of computer time on the National Science Foundation supercomputer Blue Waters in Urbana-Champaign to run the simulations.
“I don’t think anyone’s got close to simulating something of this complexity before,” says Grime, who did most of the nuts and bolts construction. “I think it’s a very significant advance in terms of what you can do with these sorts of models.”
Voth envisions making similar models for other dangerous viruses, helping scientists discern the points in the cycle that might be good prospects for disruption by a drug.
“We could do this for Zika virus, for Ebola,” he says. “Viruses have a capsid and that capsid contains their genetic material. So these sets of methodologies could be applied to any of them. We just need enough information and computer power.”
The team published results in Nature Communications. The National Institutes of Health and National Science Foundation funded the work.
Source: Carla Reiter for the University of Chicago
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