• Log in with Facebook Log in with Twitter Log In with Google      Sign In    
  • Create Account
  LongeCity
              Advocacy & Research for Unlimited Lifespans


Adverts help to support the work of this non-profit organisation. To go ad-free join as a Member.


Photo
- - - - -

Biological Simulations


  • Please log in to reply
10 replies to this topic

#1 kevin

  • Member, Guardian
  • 2,779 posts
  • 822

Posted 29 March 2004 - 08:17 AM


Link: http://www.eurekaler...w-smv032504.php

Public release date: 29-Mar-2004

Contact: John Yin
yin@engr.wisc.edu
608-265-3779
University of Wisconsin-Madison



Study: Mimicking viruses may provide new way to defeat them

MADISON - Viruses, often able to outsmart many of the drugs designed to defeat them, may have met their match, according to new research from the University of Wisconsin-Madison.
The findings show that the introduction of a harmless molecule that uses the same machinery a virus needs to grow may be a potent way to shut down the virus before it infects other cells or becomes resistant to drugs. The results are published in the March issue of the journal, Antimicrobial Agents and Chemotherapy.

"When a virus encounters a susceptible cell, it enters and says, 'I'm now the boss,'" explains John Yin, a UW-Madison associate professor of chemical and biological engineering and senior author of the paper. "It pirates the cell's resources to produce virus progeny that, following release from the host cell, can infect other cells."

The current technique to stop a virus in its tracks is to develop drugs that bind to and block the function of virus proteins - molecules the virus produces, with the aid of host cells that help the virus replicate, or make copies of itself. The drugs, says Yin, are like hammers that knock out key functions that the virus uses for growth and reproduction.

But, he points out, this antiviral approach cannot always outsmart the virus: "When a virus reproduces, it doesn't do so perfectly. Sometimes, it inserts genetic typos, creating variations that may allow some versions of the virus proteins to develop an evolutionary advantage, such as drug resistance."

While improvements in molecular biology and chemistry have led to new drugs that precisely target virus proteins, they have not been able to stop viruses from producing drug-resistant strains.

"Despite advances in the development of antiviral therapies over the last decade, the emergence and outgrowth of drug-resistant virus strains remains problematic," says Hwijin Kim, a UW-Madison graduate student in the chemical and biological engineering department, and co-author of the March paper.

Given that drug-resistant virus mutants can arise, Kim and Yin wondered if there might be some antiviral strategies that are harder for a virus to beat. An unexplored approach came to mind.

Rather than designing a drug molecule that inhibits virus proteins, the UW-Madison researchers created a molecule that acts just like the parasitic virus: It enters the cell and hijacks the very machinery the virus requires for its own growth. But unlike the virus, the diversionary molecules are much smaller, meaning they can grow a lot faster and steal away even more resources from the virus. Plus, they don't encode any virus proteins, which renders them powerless inside a cell, says Yin.

Although the diversionary molecules do need resources from the cell to work, Yin clarifies, "they essentially shut down virus growth while expending only a small fraction of the resources that the virus would normally use."

Yin and Kim analyzed the potency of this parasitic antiviral approach in computational models where E. coli had been infected with a particular virus. For the diversionary molecule, they introduced a short piece of RNA that competes for the same resources as the infectious virus to replicate. The researchers note that the models are based on experimental data and decades of biophysical and biochemical studies.

The analysis shows that when the parasitic molecule was absent, the virus had produced more than 10,000 copies of itself in less than 20 minutes after infection. In the presence of the parasitic molecule, however, no new progeny of the virus existed. The analysis, says Yin, also shows that the diversionary molecules had grown in number by more than 10,000-fold just 10 minutes after infection, further suggesting that the molecule successfully stole away resources from the virus.

"The parasitic strategy outperformed the non-parasitic strategies at all levels," says Kim. "It inhibited viral growth, even at a low dose, placed minimal demands on the intracellular resources of the host cell and was effective when introduced either before or during the infection cycle." One other important finding, he adds, is that the strategy created no obvious way for the virus to develop drug-resistant strains.

"Our calculations suggest that this antiviral strategy is a very effective approach and one that is very difficult for a virus to overcome," says Yin. "There are definite technical challenges to implementing this approach, but the findings do open the door to a broader way of thinking about antiviral strategies."

Yin says the next step is for researchers to test these ideas inside living cells.


###
- Emily Carlson (608) 262-9772, emilycarlson@wisc.edu

#2 Da55id

  • Guest
  • 436 posts
  • 6
  • Location:Springfield, va
  • NO

Posted 29 March 2004 - 12:44 PM

It's this kind of research that we hope the VastMind grid computing system (on the MMP tote board) will grow to support

sponsored ad

  • Advert

#3 kevin

  • Topic Starter
  • Member, Guardian
  • 2,779 posts
  • 822

Posted 21 April 2004 - 01:50 PM

Posted Image
Link: http://www.itbusines...lid=1&sid=55367



Mount Allison enlists supercomputer for cancer research

4/20/2004 5:00:00 PM - Project with IBM could lead to drug discoveries to repair DNA

by Fawzia Sheikh



Researchers at Mount Allison University in New Brunswick are using IBM supercomputing technology to help them discover drugs to repair damaged human DNA in diseases like cancer
and Alzheimer's.

Their work is part of the Mount Allison Cluster for Advanced Research, financed by the Canada Foundation for Innovation and the New Brunswick Innovation Foundaton, which was founded last May.

The motive behind setting up a virtual lab with IBM rather than maintaining a four-processor system is to study chemical systems on computers instead of mixing together substances in traditional lab experiments, said Stacey Wetmore, a chemistry professor and the project's lead researcher in Sackville, N.B.

Because labs are used by undergraduate students during the year, the researchers said they need a powerful system like IBM's to undertake their work during the short summer months.

Another big benefit of using the new lab is Mount Allison's researchers don't have to worry about chemical waste disposal or using many expensive chemicals, said Wetmore, who's been doing DNA research at the university for two and a half years.

The dual processor cluster of IBM eServer xSeries running a Linux operating system can "look at a lot of different chemical systems a lot more quickly than actually making the molecules in the lab," she added.

Mount Allison researchers sought IBM's help in solving their chemistry problems by using a distributed memory approach in which one processor is directly associated with one memory bank, as opposed to a more expensive shared-memory machine, said Dominic Lam, national high-performance computing manager at IBM Canada in Markham, Ont.

Neither Wetmore nor IBM can pinpoint the amount of money that will be saved by undertaking research projects using a IBM Linux supercomputing cluster. Lam, however, does says the potential cost savings is significant.

"We now have an opportunity to do research that we simply couldn't do before, so you can't even put a dollar price on it," added Laurie Ricker, assistant professor of mathematics and computer science, who along with physics professor Mohammad Ahmady is also using the virtual lab.

Ricker said she studies the control of distributed software and is using the cluster to create computational tools as opposed to tapping existing software. Ahmady is performing numerical computations that aim to answer fundamental questions about the universe's creation.

Implementing IBM's technology has not come without hitches, Wetmore explained. She said it was challenging to run the software over 168 computers and to make the computers communicate with one another. "I have commercial chemistry software, but even though different people have it running over multiple computers, it's still really hard to get it to work on your system."

IBM ended up dispatching an expert in Wetmore's computational chemistry software to Mount Allison for a couple of months. "From my perspective as a chemist, it was a blessing that they had somebody who knew about my software and could spend the time helping us install it."

She said the other problem was matching Linux's "constantly changing" versions to the software package the researchers were using.

Comment: info@itbusiness.ca

#4 manofsan

  • Guest
  • 1,223 posts
  • 56

Posted 21 April 2004 - 06:37 PM

Regarding the counter-virus molecule technique -- won't it trigger an immune response against it, just like a virus would? Also, won't your counter-virus molecule potentially mutate in a dangerous way, just like viruses can mutate? I suppose you could include some kind of terminator gene or telomere that will cap how many replications can occur, and thus hopefully limit the danger of it multiplying out of control, but mutations could potentially disable this.

#5 kevin

  • Topic Starter
  • Member, Guardian
  • 2,779 posts
  • 822

Posted 05 May 2004 - 06:27 PM

Link: http://www.eurekaler...--ubd043004.php

Yet more indications that 'virtual cells' are not that far off nor the knowledge of how to manipulate our chemistry 'in silico' thus eliminating the need for investigating many blind allies.. our knowledge is accelerating supra-exponentially.



Public release date: 5-May-2004
Contact: Denine Hagen
dhagen@ucsd.edu
858-534-2920
University of California - San Diego

UCSD bioengineers develop first genome-scale computational model of gene regulation
Results published in May 6 Issue of Nature
It has taken more than 50 years to accumulate the current body of knowledge on Escherichia coli, a bacterium which is one of the best studied organisms in biology. Now, bioengineers at the University of California San Diego have integrated this knowledge into the first genome-scale model of the gene regulatory system in E.coli. The computational model helps to define the rules governing cell function and quickly enabled an exponential increase in the understanding of the regulatory system in E. coli. Their work, which is published in the May 6, 2004 issue of Nature, represents a new way to systematically drive biological discovery.

"This research is evidence of how much more quickly biological discovery is going to progress now, given that we have high-throughput experimental tools for gathering large volumes of data, and the use of these tools can be guided by computer models," said Bernhard Palsson, professor of bioengineering at the UCSD Jacobs School of Engineering. Palsson co-authored the study with his UCSD bioengineering student Markus Covert, who is now a post-doctoral researcher at the California Institute of Technology.

"We have demonstrated that we can reverse-engineer a cellular regulatory system at the genome scale, and then use that model to systematically gain new knowledge about how the cell functions," said Palsson.

In 2000, Palsson completed an in silico (computational) model of E. coli metabolism that is now being used by scientists worldwide to design and interpret laboratory experiments as well as engineer strains for industrial purposes. In this more recent work, Covert modeled the regulatory network in E. coli representing how the cell responds to environmental cues and expresses genes involved in cellular metabolism. He scoured the scientific literature to reconstruct an E. coli model incorporating all known data about regulatory network components, their functions and their actions.

The UCSD model now includes a network for 1,010 genes, including 104 regulatory genes, whose products together with other molecules regulate the expression of 479 of the 906 genes known to be involved in metabolism.

The team conducted a series of experiments focused on E. coli's response to oxygen deprivation. They made predictions of cellular behavior through simulations with the in silico model. These predictions guided high-throughput data-gathering experiments using gene chip technology. In the laboratory, the team created strains of E. coli in which genes involved in oxygen regulation were deleted, and then subjected the strains to experiments both with and without oxygen. When the predicted outcomes did not match the experimental outcomes, the experimental data was used to update the in silico model.

Through this process, the team uncovered surprising new details about how E. coli responds to oxygen deprivation.

"We went into the experiments thinking that oxygen regulation is fairly well understood. But in one fell swoop, we identified 115 previously unknown regulatory mechanisms," said Covert. "For example, one interesting finding was that in several cases when a protein that transcribes a gene is active, the expression level of that gene is actually reduced. We also identified new regulatory interactions for genes that no one previously had described, basically opening up a whole new research frontier in terms of characterizing regulatory networks in E. coli."

Another observation by the team was that E. coli's regulatory network is much more complex than might be expected for such a relatively simple single-cell microbe. And that, Covert says, means that lessons learned through the E. coli modeling process will help scientists model much more advanced organisms such as mice and even humans.

UCSD has filed a patent on the model and is negotiating a license agreement. Palsson's group at UCSD will continue to develop the E. coli model, and is also beginning to model the regulatory network in yeast, a single-cell organism more closely related to human cells. Meanwhile Covert at Caltech is focusing on signaling transduction pathways in the mouse.

In addition to Palsson and Covert, the other researchers involved in the study include Eric M. Knight, Jennifer L. Reed, and Markus J. Herrgard.


###
Funding was provided through the National Institutes of Health.

Related Links:
Palsson's Systems Biology Research Lab: http://gcrg.ucsd.edu/
Nature: http://www.nature.com
UCSD Jacobs School of Engineering:http://www.jacobsschool.ucsd.edu

#6 manofsan

  • Guest
  • 1,223 posts
  • 56

Posted 05 May 2004 - 07:50 PM

Now, if this whole process from silico-to-vivo could be automated, so that it could be done again and again iteratively -- automatically synthesizing bacteria to test the model and automatically measuring the results to plug them back in and refine the model -- now then you'd be able to make rapid progress in developing accurate biochemical models for a variety of genomes.

Now that would be cool!

#7 kevin

  • Topic Starter
  • Member, Guardian
  • 2,779 posts
  • 822

Posted 12 June 2004 - 11:00 PM

Posted Image
Link: http://www.scienceda...40610075845.htm


Study Of Proteins Offers Insights Into Organization Of Biological Networks
BOSTON –– Research into the many-sided interactions of proteins in yeast cells is revealing that such networks may have something in common with other kinds of systems, from the World Wide Web to the country's electric-power grid.

Dana-Farber Cancer Institute investigators report that "hub" proteins – highly connected proteins that bind to many other proteins in the cell – can be divided into two general groups: "party" hubs, which interact with most of their partner proteins all at once, and "date" hubs, which bind to their partners at different times or locations. The study will be published online by Nature as an Advanced Online Publication on June 9 and later in the print edition.

"Our discovery answers a key question about how yeast cells organize their genetic and protein activity," says Dana-Farber's Marc Vidal, Ph.D, who led the study with colleague Jing-Dong Han, Ph.D. "This might turn out to be critical knowledge for the development of drugs for cancer and other diseases."

The new study is based on a map of the interactions among proteins – the so-called "interactome" – in yeast cells. Resembling a ball exploding into thousands of colored particles, the map gives a composite view of interactions that can take place among the proteins, but it doesn't indicate how frequently protein partners interact, nor which partners are in action at the same time. "We need a way of analyzing proteins' activity as a dynamic process," Vidal says.

Vidal and his colleagues focused on hub proteins, the social butterflies of the molecular world, which have large numbers of partner proteins. Researchers theorize that abnormal versions of hub proteins are especially influential in the development of cancer and other genetic diseases. Physicist Albert-Laszlo Barabasi of the University of Notre Dame, for example, has used computer modeling to discover that removing hubs from a network is more likely to result in the network's disintegration than the removal of non-hubs. And biologists have shown that without the genes for hub proteins, yeast cells are three times more likely to die than if they lack the genes for non-hub proteins.

In their Nature study, Vidal and his colleagues sought to understand why hub proteins play such a seemingly central role in cell life. By entering into a computer all that is known about the interactions among yeast-cell proteins, the investigators were able to make a digital simulation of the protein network. They selectively removed hub and non-hub proteins and measured how this affected the overall number of connections between proteins. They found that while eliminating non-hubs had very little effect on the amount of connections, eliminating hubs caused connection length to increase. "The extent of disruption caused by removal of hubs is clearly greater than that caused by removal of non-hubs," Vidal remarks. "It's as though one closed a main road in a city, forcing traffic to follow a lengthy detour to reach its destination."

Analyzing data generated by gene-chip technology, investigators found that some hubs are active at the same time as their partners – like bulbs in a flashing sign – while others are active at different times – like bulbs blinking on a Christmas tree. They dubbed the first group "party" hubs and the second group "date" hubs.

When party hubs were taken out of the mix, there was very little effect on the number of protein connections within the cell. When date hubs were removed, however, connection length rose sharply, meaning it take more "hops" to move between nodes.

Researchers concluded that party hubs work primarily within "modules" that perform specific biological functions, whereas date hubs connect modules to one another. The researchers suggest that a similar structure could be found in many other man-made and natural networks.

"To compare it to the World Wide Web, a party hub is similar to a home page, which has links to all the other pages at that site," Vidal observes. "A date hub would be like a 'Related Links' icon that enables you to jump from one home page to another."

Researchers hope to determine whether this pattern holds for other types of cells as well and, ultimately, whether it provides insights into how gene systems go awry in cancer and other diseases.

### The study's other authors include Nicolas Berlin, Tong Hao, Denis Dupuy, Ph.D., Albertha Walhout, and Michael Cusick, all of Dana-Farber, and Debra Goldberg, Gabriel Berriz, Lan Zhang, and Frederick Roth of Harvard Medical School. The work was supported by grants from the National Human Genome Research Institute, the National Institute of General Medical Sciences, and the National Cancer Institute.

Dana-Farber Cancer Institute (http://www.danafarber.org) is a principal teaching affiliate of the Harvard Medical School and is among the leading cancer research and care centers in the United States. It is a founding member of the Dana-Farber/Harvard Cancer Center (DF/HCC), designated a comprehensive cancer center by the National Cancer Institute.

Editor's Note: The original news release can be found here.



What's Related
Networking Slows Down Protein Evolution, Study Reveals

Research Aims To Keep Electricity Flowing Smoothly

A First Glance At Global Genetic Networks

#8 kevin

  • Topic Starter
  • Member, Guardian
  • 2,779 posts
  • 822

Posted 04 June 2005 - 07:13 AM

Link: http://www.medicalne...9&nfid=rssfeeds


Scientists create digital bacteria to forge advances in biomedical research
04 Jun 2005

Scientists at the University of Chicago and Argonne National Laboratory have constructed a computer simulation that allows them to study the relationship between biochemical fluctuations within a single cell and the cell's behavior as it interacts with other cells and its environment.

The simulation, called AgentCell, has possible applications in cancer research, drug development and combating bioterrorism. Other simulations of biological systems are limited to the molecular level, the single-cell level or the level of bacterial populations. AgentCell can simultaneously simulate activity on all three scales, something its creators believe no other software can do.

"With AgentCell we can simulate the behavior of entire populations of cells as they sense their environment, respond to stimuli and move in a three-dimensional world," said Thierry Emonet, a Research Scientist in Philippe Cluzel's laboratory at the University of Chicago's Institute for Biophysical Dynamics.

Emonet and his colleagues have verified the accuracy of AgentCell in biological experiments. AgentCell now enables scientists rapidly to run test experiments on the computer, saving them valuable time in the laboratory later.

Emonet is the lead author of a paper announcing the development of AgentCell that was published in the June 1 issue of the semimonthly journal Bioinformatics. His co-authors are Argonne's Charles Macal and Michael North, and the University of Chicago's Charles Wickersham and Philippe Cluzel. The work was funded by the U.S. Department of Energy and the University of Chicago/Argonne National Laboratory Seed Grant Program.

AgentCell will be used to tackle a major goal in single-cell biology today: to document the connection between internal biochemical fluctuations and cellular behavior. "The belief is that these fluctuations are going to be reflected in the behavior of the cell as shown experimentally by John Spudich and Daniel Koshland in 1976," Emonet said. They may even reveal why cells sometimes act as individuals and sometimes as part of a community.

AgentCell was made possible by agent-based software, which researchers developed to simulate stock markets, social behavior and warfare. Argonne's Macal and North contributed their agent-based software expertise to the project. Macal and North operate Argonne's Center for Adaptive Systems Simulation.

Cluzel's laboratory began its collaboration with Macal and North following a suggestion by Robert Rosner, Argonne's Director and the William Wrather Distinguished Service Professor in Astronomy & Astrophysics at the University of Chicago. Before shifting to Cluzel's lab, Emonet worked with Rosner in devising simulations to understand how the sun reverses its magnetic field every 11 years.

Each digital cell in AgentCell is a virtual Escherichia coli, a single-celled bacterium, which is equipped with all the virtual components necessary to search for food. These digital E. coli contain their own chemotaxis system, which transmits the biochemical signals responsible for cellular locomotion. They also have flagella, the whiplike appendages that cells use for propulsion, and the motors to drive them.

Emonet and his associates have designed their digital bacterial system in modules, so that additional components may be added later.

"Right now it's a very simple model," Emonet said. "Basically the only thing those cells have is a sensory system." But additional components that simulate other biological processes--cell division, for example--can also be introduced. And the software is available to other members of the research community for the asking. "The hope is that people will modify the code or add some new capabilities. The code will soon be available for download from our Web site, http://www.agentcell.org,", Emonet said.

AgentCell has already yielded benefits in Cluzel's laboratory, even in its current rather simple configuration. In his simulations, Emonet discovered that one type of protein controlled the sensitivity of E. coli's chemotaxis system, which helps the bacteria find food. "When you changed the level of that protein, it would change the sensitivity of the cell," Emonet said. Subsequent laboratory experiments came out exactly the same way.

Sometimes, though, conducting the actual experiment would be undesirable. Preparing for a bioterrorism attack is one example. "You can actually try to simulate dangerous experiments," said Cluzel, an Assistant Professor in Physics. "For instance, if you mix a pathogenic strain with a friendly strain, which one is going to win, and with what kind of speed?"

Contact: Steve Koppes
skoppes@uchicago.edu
773-702-8366
University of Chicago
http://www-news.uchicago.edu

#9 kevin

  • Topic Starter
  • Member, Guardian
  • 2,779 posts
  • 822

Posted 22 March 2006 - 06:52 AM

http://www.newscient...line-news_rss20



A new computer is being unveiled by NEC capable of petaflop operations..

"It will be able to carry out entire simulation of the human body from genes and cell level to the organs and even the entire body," the NEC spokeswoman adds



#10 maestro949

  • Guest
  • 2,350 posts
  • 4
  • Location:Rhode Island, USA

Posted 23 March 2006 - 11:26 PM

Hmmm sounds like it's still theoritical and pre-prototype at this point. Sounds like it'll take a nuclear power plant to power the sucker too. Why not though. We build gargantuan supercolliders for billions of dollars.

sponsored ad

  • Advert

#11 Live Forever

  • Guest Recorder
  • 7,475 posts
  • 9
  • Location:Atlanta, GA USA

Posted 28 March 2006 - 10:44 PM

Virtual Virus is First Simulation of an Entire Life Form:
http://www.livescien...uter_virus.html

Story on LiveScience about the simulation.

;)




1 user(s) are reading this topic

0 members, 1 guests, 0 anonymous users