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TA DC Projects |
Life Science |
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Life Science |
United Devices [UD] 

Grid.org is a single destination site for large-scale research
projects powered by the United Devices grid computing solution,
Grid MP Global. With the participation of over 3 million
devices worldwide, grid.org projects like Cancer Research,
Anthrax Research, Smallpox Research and the new Human Proteome
Folding Project (running in conjunction with IBM's new World
Community Grid) have achieved record levels of processing speed
and success.
[Home
Page] [Official
Stats] [Official
TeAm Stats] [Unofficial
Stats] [Download]
[Setup]
[FAQ] [Rank:16]
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Folding@Home [FAH]

Folding@Home is a distributed computing project which studies
protein folding, misfolding, aggregation, and related
diseases.
Proteins are biology's workhorses -- its "nanomachines."
Before proteins can carry out their biochemical function,
they remarkably assemble themselves, or "fold." The process
of protein folding, while critical and fundamental to
virtually all of biology, remains a mystery. Moreover,
perhaps not surprisingly, when proteins do not fold correctly
(i.e. "misfold"), there can be serious effects, including
many well known diseases, such as Alzheimer's, Mad Cow (BSE),
CJD, ALS, and Parkinson's disease.
[Home
Page] [Official
Stats] [Official
TeAm Stats] [Unofficial
Stats] [Download]
[Setup]
[FAQ] [Rank:25]
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Ubero [UBERO]

We will manage your distributed computing project for you,
potentially for FREE! Let us put our thousands of registered
Ubero agents distributed around the world towards your worthy
scientific causes or research efforts. Potential projects
include:
Life sciences, drug discovery, financial modeling and
real-time market analysis, energy exploration, cryptography
and digital security, network security, monitoring and
testing, anti-terrorism and homeland defense, weather and
environmental simulations, graphics rendering and
compression, distributed gaming, MMPORGs.
Your participation will help researchers accomplish their
research goals, and you can earn money for making your
computer power available to projects that pay money to Ubero.
[Home
Page] [Official
Stats] [Official
TeAm Stats] [Unofficial Stats] [Download]
[Setup]
[FAQ] [Rank:25]
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Drug Design and Optimization Lab
[DČOL]

The Drug Design and Optimization Lab (D2OL)™ works to
discover drug candidates against Anthrax, Smallpox, Ebola and
SARS and other potentially devastating infectious diseases.
D2OL, was first to use computational methods to deploy
targets against Anthrax, Smallpox and Ebola, and now is first
to have a credible SARS target (A target conserved between
pig and human coronovirus, the suspected virus behind SARS).
Using this computing power, our proprietary methodology to
identify targets (focusing on epidemiology, drugability and
the target's role in the pathogen's lifecycle) and
collaborating with experts in computational chemistry and
structure based drug design, the (D2OL)™ initiative is
working to improve our society's ability to respond to the
ever increasing threats in a timely manner.
[Home
Page] [Official
Stats] [Official
TeAm Stats] [Unofficial
Stats] [Download]
[Setup]
[FAQ] [Rank:2]
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Distributed Folding [DF]

The Distributed Folding Project (DFP) is a distributed
computing approach to study protein folding and how proteins
fold and assemble into living cells. The primary goal of the
Distributed Folding Project (DFP) is to predict the correct
structure and folding pathway for any given protein of
interest. Using protein folding algorithms, billions of
protein structures are generated and assigned an energy
score. By comparing billions of randomly generated
structures, unlikely structures can be discarded and,
theoretically, the most likely structure will be sufficiently
close to the single correct structure. The structure with the
best score is predicted as the structure most likely to occur
in nature.
The DFP has served as an ideal platform to test new protein
folding algorithms and to improve existing algorithms.
[Home
Page] [Official
Stats] [Official
TeAm Stats] [Unofficial
Stats] [Download]
[Setup]
[FAQ]
[Rank:16] *Completed
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CommunityTSC [TSC]

The Rothberg Institute For Childhood Diseases is a non-profit
organization dedicated to finding a cure for children
suffering from Tuberous Sclerosis Complex (TSC). We operate
at the intersection of modern biology, computer science, and
chemistry.The work we do on TSC will also have a direct
impact on cancer research, and we will be testing the drugs
we find as weapons against cancer. In addition the work we do
to create a system to attack orphan diseases will form a
prototype for work on other orphan diseases.TSC is a genetic
disorder that leads to benign tumors in multiple organs,
including the brain, kidneys, heart, eyes, lungs and other
organs. During the first few years, the severity of TSC can
range from mild skin abnormalities to, in severe cases,
seizures, mental retardation or renal failure.
[Home
Page] [Official
Stats] [Official
TeAm Stats] [Unofficial
Stats] [Download]
[Setup]
[FAQ] [Rank:15]
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Find-a-Drug [FAD]

Find-a-Drug is a not for profit distributed computing project
who aims to run a series of projects in parallel addressing a
number of diseases which have a major impact on health. We
seek to collaborate with the world's leading experts
including academics in each therapeutic area.
The software evaluates the potential of molecules to interact
with a protein target. Each molecule that is predicted to
interact with the target is considered a "hit" and may become
a new drug for treating an important disease.
Projects research includes: Malaria, Respiratory Diseases,
Cancer, HIV, Proteome, Bioterrorism Antidotes, Multiple
Sclerosis and Methodology.
[Home
Page] [Official
Stats] [Official
TeAm Stats] [Unofficial Stats]
[Download]
[Setup]
[FAQ]
[Rank:5]
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Predictor@home [PAH]


Predictor@home is a world-community experiment and effort to
use distributed world-wide-web volunteer resources to
assemble a supercomputer able to predict protein structure
from protein sequence.
Our work is aimed at testing and evaluating new algorithms
and methods of protein structure prediction in the context of
the Sixth Biannual CASP (Critical Assessment of Techniques
for Protein Structure Prediction) experiment. The goal is to
utilize these approaches together with the immense computer
power that can be harnessed through the internet and
volunteers all over the world (you!) to address critical
biomedical questions of protein-related diseases.
[Home
Page] [Official
Stats] [Official
TeAm Stats] [Unofficial
Stats] [Download]
[Setup]
[FAQ] [Rank:24]
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World Community Grid [WCG]

World Community Grid is a distributed computing platform
which allows you to support multiple computing projects.
World Community Grid's mission is to create the world's
largest public computing grid to tackle projects that benefit
humanity.
Platform participants: join one or more of the World
Community Grid projects by registering for an account at the
project site, then downloading and running the World
Community Grid agent software (note: if you are already
participating in grid.org you do not need to register for
this platform: they are the same project). The agent will
automatically set itself up to participate in World Community
Grid projects.
Project Showcase include projects like the Human Proteome
Folding Project
[Home
Page] [Official
Stats] [Official
TeAm Stats] [Unofficial Stats] [Download]
[Setup]
[FAQ] [Rank:162]
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Rosetta@home [RAH]


Rosetta@home is a scientific research project that uses
internet-connected computers to predict and design protein
structures, and protein-protein and protein-ligand
interactions. Our goal is to develop methods that accurately
predict and design protein structures and complexes, an
endeavor that may ultimately help researchers develop cures
for human diseases such as cancer, HIV/AIDS, and malaria .
This project, run by The Baker Laboratory at the University
of Washington, will help the lab improve its Rosetta software
package, which is used by other projects such as Human
Proteome Folding.
[Home
Page] [Official
Stats] [Official
TeAm Stats] [Unofficial
Stats] [Download]
[Setup]
[FAQ] [Rank:12]
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CHRONOS [CRS]


(Chromosomal Nostalgia) discover the relationships between
the 24 chromosomes of the human genome. An understanding of
these relationships will help scientists to better understand
and prevent genetic diseases, including cancer and diabetes.
This project is part of the
cell computing Birth
distributed computing projects sponsored by the NTT Data
Corporation.
The project website is only available in Japanese, but
English speakers can see a
Google translation of the project pages.
[Home
Page] [Official
Stats] [Official
TeAm Stats] [Unofficial
Stats] [Download]
[Setup]
[FAQ] [Rank:161]
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TeAm Rank |
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Life Science |
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UD |
16 |
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FAH |
25 |
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UBERO |
25 |
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D2OL |
2 |
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DF * |
16 |
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TSC |
15 |
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FAD |
5 |
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PAH BOINC |
20 |
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WCG |
162 |
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RAH BOINC |
12 |
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CRS BOINC |
161 |
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* Project
Ended |
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