Sirockin, F Plevwniak and O Poch proposed three projects of increasing complexity. The first project involved the identification and characterization of proteins implicated in several neuromuscular diseases, as well as the prediction of protein domains and tissue-specific functions. A second project involved the analysis of proteins of a cellular organelle, the peroxisome, which is involved in many essential metabolic functions. The third project, at the scale of an organism, was to identify new potential therapeutic targets in Vibrio cholerae and bacterial diarrhea organisms involved in diarrhoeal diseases Two projects were selected in 2003/2004. Both projects were successfully carried out on the grid and provided useful calculations. Following the success of these two projects, an agreement was signed in May 2004 between the AFM, the CNRS and IBM formalizing the then named “Décrypthon based” project on a grid of servers donated by IBM at six partner universities. In 2009, the French actor Thierry Lhermitte becomes the patron of Décrypthon. Projects Project coordinated by Alessandra Carbone (Inserm Unit 511, Université Pierre et Marie Curie). Large-scale investigation of protein-protein, protein-DNA and protein-ligand interactions leading to drug targeting. This project seeks to develop computer tools to identify at the protein surface, interaction sites with other proteins, DNA or ligands. Project of Christophe Pouzat and Pascal Viot (CNRS UMR 8118, Université René Descartes, Paris V). Parallelization of a Monte Carlo method to sort action potentials: improving a tool for basic research in neuroscience and diagnosis of neuromuscular diseases. This project aims to automate the processing of neuronal signals recorded by doctors to detect any malfunctioning of neurons in the brain or motoneurons that control muscle fibres. Project coordinated by Marc Robinson-Rechavi (Faculty of Biology and Medicine at the University of Lausanne/ENS Lyon). Data mining of animal transcriptomes to annotate the neuromuscular processes of the human genome. This project will allow to identify exactly which genes should be expressed (or are incorrectly expressed) in muscle cells, essential information to understand neuromuscular diseases. Project coordinated by E-K. Talbi (LIFL – Laboratory of Basic Computer Science in Lille, USTL, CNRS, INRIA, Villeneuve d'Ascq). Conformational sampling and docking on Grids: Application to neuromuscular diseases. The aim is to predict, by calculation, the nature and type of bonds of the molecules involved in the functioning of the normal cell, and to develop research "in silico" (by calculation), the means to interfere with the normal or pathological physiological processes - and