TA DC Projects | Life Science
   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]

 


 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]

 

 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]

 

 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]

 

 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

 

 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]
 
 

 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]


 

 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]

 

 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]

 

 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]

 

 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]

 

TeAm Rank
Life Science
UD 16
FAH 25
UBERO  25
D2OL  2
DF * 16
TSC 15
FAD 5
PAH BOINC 20
WCG 162
RAH BOINC 12
CRS BOINC 161
* Project Ended  
 home | projects | forums | chat blog | contact
- - Updated: 28-09-05