As Dr Peijun Zhang, project lead and associate professor in structural biology at the University of Pittsburgh School of Medicine explained to the BBC:
The capsid is critically important for HIV replication, so knowing its structure in detail could lead us to new drugs that can treat or prevent the infection. The capsid has to remain intact to protect the HIV genome and get it into the human cell, but once inside, it has to come apart to release its content so that the virus can replicate. Developing drugs that cause capsid dysfunction by preventing its assembly or disassembly might stop the virus from reproducing.
But until very recently, the precise structure—how the thousands of copies of p24 actually meshed together—remained a mystery. The capsid's (relatively) large size, non-symmetric shape, protein structure has stumped researchers' attempts to effectively model it. Earlier research had revealed that the p24 arranged itself in either a pentagon or hexagon shape as part of the capsid structure, but how many of each and how the pieces fit together remained out of reach because science simply didn't have the computational prowess to model this incredibly complex subatomic structure in atomic-level detail.
This problem required a petaflop-level supercomputer to solve, a class of machine that has only recently become readily available. The team turned to National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign and its resident supercomputer, Blue Waters.
SThe team fed electron microscopy data collected in lab experiments conducted at the University of Pittsburgh and Vanderbilt University into Blue Waters and let the $108 million, 11.5 petaflop machine do its thing: Crunch massive amounts of information with its 49,000 AMD CPUs. Blue Waters can handle one quadrillion floating point operations every second, so stitching together 1,300 proteins into an oblong molecular soccer ball was no sweat.
The team developed a novel shaping algorithm for the project, dubbed molecular dynamic flexible fitting. "You basically simulate the physical characteristics and behavior of large biological molecules, but you also incorporate the data into the simulation so that the model actually drives itself toward agreement with the data," said Professor Klaus Schulten of the University of Illinois in a press release.
S"This is a big structure, one of the biggest structures ever solved," Schulten continued. "It was very clear that it would require a huge amount of simulation — the largest simulation ever published — involving 64 million atoms."
The team revealed the complete capsid structure in a Nature report yesterday:
The mature human immunodeficiency virus-1 (HIV-1) capsid is best described by a ‘fullerene cone’ model2, 3, in which hexamers of the capsid protein are linked to form a hexagonal surface lattice that is closed by incorporating 12 capsid-protein pentamers.
SIn all, the HIV capsid requires 216 protein hexagons and 12 protein pentagons to operate—arranged exactly as the predictive models said they would be. The new discovery reveals a stunningly versatile protein in p24. The protein itself is identical whether it's shaped into a pentagon or a hexagon, only the attachment sites between p24 proteins varies between shapes. How that works remains a mystery.
"How can a single type of protein form something as varied as this thing? The protein has to be inherently flexible," said Schulten.
SNew questions aside, this breakthrough illustrates precisely how the capsid works and how scientists can best attack that function to disrupt the virus' ability to replicate. By exploiting the capsid's structure, researchers theoretically could deliver a molecular padlock that prevents the viral core from opening and the virus from spreading. This discovery could lead to an entirely new suite of treatment alternatives and could finally outpace HIV's ability to rapidly evolve resistance to current enzyme-based medications.
"The big problem with HIV is that it evolves so quickly that any drug you use you get drug resistance which is why we use a multi-drug cocktail," Professor Simon Lovell, a structural biologist at the University of Manchester, said. "This is another target, another thing we can go after to develop a new class of drugs to work alongside the existing class."
It's only a matter of time until HIV goes the way of polio. And it's thanks in no small part to one beast of a computer. [BBC - CNet - Nature - University of Illinois - National Science Foundation - NIH - Top Image: CDC (public domain) - Trio and duo Images: Theoretical and Computational Biophysics Group (www.ks.uiuc.edu), Beckman Institute for Advanced Science and Technology, UIUC - Blue Waters: kosheahan / Flickr - Pipes: UIUC - Illustration: NIAID]
0 comments:
Post a Comment