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January 2007: Decrypthon is launched on the PC grid.

It’s official: the Decrypthon program has enriched itself with the arrival of an “internet user grid” for the outstanding molecular docking project of A. Carbone.
 
This project, called "Help Cure Muscular Dystrophy", aims to establish a model of the protein-protein interactions of 4000 proteins, focusing on those relevant to neuromuscular diseases. A phase test was initially launched, calculating the interactions of 336 proteins using Windows operating system. In the second, larger scale phase of the project, the calculations will also be performed using Linux and Macintosh operating Systems.
 
 The database of information produced will help researchers design molecules to inhibit or enhance binding of particular macromolecules, hopefully leading to better treatments for muscular dystrophy and other neuromuscular diseases.

You can contribute to the success of this project by making your PC's unused computational performance available to researchers.
You just need to subscribe to the World Community Grid:

The scientific objective.
Nowadays, life science research needs increasingly more computation skills and storage space. Indeed, each year, there is a twofold increase in biological data. Capitalising on their 2001 experience, the AFM and IBM have decided to associate with the CNRS to set up the Decrypthon program. Its goal: speed up proteomics and genomics research thanks to Grid  Computing technology. Its duration: 3 years, finishing at the end of 2007.

The Decrypthon program aims at accelerating research into genomic and proteomic. To better understand the function and the role of proteins, predict their functions if unknown, progress in the understanding of their 3D structures, cross proteome and genome data…as many steps accomplished towards the development of innovating therapies for the still incurable genetic diseases. To reach this goal, the Decrypthon program aims to accommodate a dozen scientific projects, selected by a call for proposals, on its technological platform.
The technological challenge.
Nowadays, an efficient weapon exists to surpass diseases: grid-computing. Grid computing technology allows to share the available capacities of several supercomputers or PCs. They thus offer research the computing power required to analyse complex biological data.
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