Navigation Links
Stanford and Google team up to simulate key drug receptor
Date:12/20/2013

Roughly 40 percent of all medications act on cells' G protein-coupled receptors (GPCRs). One of these receptors, beta 2 adrenergic receptor site (B2AR), naturally transforms between two base configurations; knowing the precise location of each of approximately 4,000 atoms is crucial for ensuring a snug fit between it and the drug.

Now, researchers at Stanford and Google have conducted an unprecedented, atom-scale simulation of the receptor site's transformation, a feat that could have significant impact on drug design.

This is the first scientific project to be completed using Google Exacycle's cloud computing platform, which allows scientists to crunch big data on Google's servers during periods of low network demand.

The study was published online in Nature Chemistry on Dec. 15.

As a type of GPCR, the B2AR is a molecule that sits within the membrane of most cells. Various molecules in the body interact with the receptor's exterior, like two hands shaking, to trigger an action inside the cell.

"GPCRs are the gateway between the outside of the cell and the inside," said co-author Vijay Pande, a professor of chemistry and, by courtesy, of structural biology and computer science at Stanford. "They're so important for biology, and they're a natural, existing signaling pathway for drugs to tap into."

Roughly half of all known drugs including pharmaceuticals as well as natural molecules such as caffeine target some GPCR, and many new medications are being designed with these receptor sites in mind. The 2012 Nobel Prize in Chemistry was co-awarded to Brian Kobilka, a professor at the Stanford University School of Medicine, for his role in discovering and understanding GPCRs.

Traditionally, maps that detail each atom of GPCR, and other receptors, are created through a technique called X-ray crystallography. The technique is industry standard, but it can only visualize a molecule in its resting state; receptors naturally change configurations, and their intermediate forms might also have medical potential.

When developing a drug, scientists will often run a computer program, known as a docking program, that predicts how well the atomic structure of a proposed drug will fit into the known receptor.

In the case of GPCRs, for example, the X-ray crystallography techniques have detailed teceptors' "on" and "off" configurations; many medications have been specifically designed to fit into these sites. Scientists expect, however, that other fruitful configurations exist. Many drugs engage with GPCR sites, even though computational models suggest that they don't fit either of the two defined reaction site configurations.

Computer simulations of a GPCR's shape as it morphs from "on" to "off" could create a thicker catalog of reaction site profiles, Pande said, and provide scientists a better jumping-off point for computational drug design and more discoveries.

A cloud-based attack

To simulate the GPCR alternatives at the same atom-level accuracy of X-ray crystallography, however, would take too long using traditional computing methods.

"The computational burden of a model that is faithful to atomic details is very high," Pande said. "A very fast computer processor can compute a billionth of a second of this reaction in one computer day. So if you want to simulate a full reaction on a millisecond time scale, it's going to take millions of days."

Instead, Pande and his colleagues tapped the power of Google's Exacycle cloud computing system, which harnesses a distributed network of computers to process data in parallel.

The B2AR simulation consists of almost 60,000 atoms. Each Exacycle system simulated tens of thousands of random trajectories that these atoms could take as the protein shifted its shape, generating about 250,000 molecular structures per simulated system.

The researchers then wrote algorithms to identify the most consistently generated configurations and to sift through that group for the states that are the most likely to actually exist given real-world constraints.

In total, the researchers simulated 2.5 milliseconds a virtual eternity in chemical reaction time, the authors said of the receptor shifting from "on" to "off," capturing every viable configuration of atoms in between. These intermediate structures can then be experimentally confirmed, Pande said, but even before that happens, they can guide more efficient drug design. In particular, the authors have shown that different classes of drugs are preferred by different intermediate GPCR states.

"There is some tension right now between doing this type of work with specialized hardware or with general commodity hardware, as we have done," Pande said. "Cloud resources are much more accessible to the general scientific community, and I think that we've shown here that, with the right method and algorithms, you can do the same quality of work."

The next "ridiculous" challenge

The work grew out of a key project from Simbios, the NIH Center for Biomedical Computation at Stanford, a decade-old collaboration between a broad group of bioengineering, chemistry, biology and computer science faculty from Stanford and the Stanford School of Medicine.

"This work really represents a capstone to the molecular types of calculations that a diverse group of people can tackle, and it's a challenge that I thought was really pushing the limits," Pande said. "Ten years ago I would have said this is ridiculous; even five years ago it felt a little bit out of reach.

"But we brought together people who are really at the top of their game, and being around people like that really pushes you to be the best that you can."

Asked to project the next insane step in this research, something that might take another 10 years to unfold, Pande said he'd really like to develop similar atomistic simulations of processes at the scale of an entire cell.

A key challenge of battling a disease like cancer, he said, is that the tumor cells are using normal proteins to conduct abnormal processes. Deciphering how the cells and proteins behave (or, rather, misbehave) at the molecular scale, he said, could help scientists design drugs that target specific molecular pathways to battle cancer.

"We will need to push the boundaries of both computers and algorithms," Pande said, " but the conceptual steps are there."


'/>"/>

Contact: Bjorn Carey
bccarey@stanford.edu
650-725-1944
Stanford University
Source:Eurekalert

Related biology news :

1. Stanford scientists develop gene therapy approach to grow blood vessels in ischemic limbs
2. Keck award enables Carnegie Mellon and Stanford to dramatically expand crowdsourced RNA design
3. Climate change may create price volatility in the corn market, say Stanford and Purdue researchers
4. Stanford and MIT scientists win Perl-UNC Neuroscience prize
5. Americas clean energy policies need a reality check, say Stanford researchers
6. Support for climate change action drops, Stanford poll finds
7. Stanford scientists document fragile land-sea ecological chain
8. Stanford researchers help predict the oceans of the future with a mini-lab
9. Stanford marine biologist Barbara Block wins Rolex Award for Enterprise
10. Stanford scientists find molecule to starve lung cancer and improve ventilator recovery
11. Stanford researchers calculate global health impacts of the Fukushima nuclear disaster
Post Your Comments:
*Name:
*Comment:
*Email:
(Date:5/16/2017)... , May 16, 2017  Veratad Technologies, LLC ( ... online age and identity verification solutions, announced today they ... Conference 2017, May 15 thru May 17, 2017, in ... and International Trade Center. Identity impacts ... and in today,s quickly evolving digital world, defining identity ...
(Date:4/18/2017)... a global expert in SoC-based imaging and computing solutions, has developed ... the company,s hybrid codec technology. A demonstration utilizing TeraFaces Ā® , ... showcased during the upcoming Medtec Japan at Tokyo Big Sight April ... Vegas Convention Center April 24-27. ... Click here for an image of the M820 ...
(Date:4/11/2017)... , Apr. 11, 2017 Research and Markets ... 2017-2021" report to their offering. ... The global eye tracking market to grow at a CAGR ... Global Eye Tracking Market 2017-2021, has been prepared based on an ... the market landscape and its growth prospects over the coming years. ...
Breaking Biology News(10 mins):
(Date:10/12/2017)... ... October 12, 2017 , ... They call it ... biological network, a depiction of a system of linkages and connections so complex ... associate professor of computer science at Worcester Polytechnic Institute (WPI) and director of ...
(Date:10/12/2017)... ... October 12, 2017 , ... ... pharmaceutical and biotechnology industries to improve patient outcomes and quality of life, will ... analytical testing are being attributed to new regulatory requirements for all new drug ...
(Date:10/11/2017)... ... October 11, 2017 , ... ComplianceOnlineā€™s Medical Device Summit is back for its ... 2018 in San Francisco, CA. The Summit brings together current and former FDA office ... directors and government officials from around the world to address key issues in device ...
(Date:10/11/2017)... , ... October 11, 2017 , ... ... the implantation and pregnancy rates in frozen and fresh in vitro fertilization ... progesterone and maternal age to IVF success. , After comparing the results from ...
Breaking Biology Technology: