Help Cure Muscular Dystrophy

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WCG screensaver, Help Cure Muscular Dystrophy - Phase 2 Muscular Dystrophy.gif
WCG screensaver, Help Cure Muscular Dystrophy - Phase 2

Help Cure Muscular Dystrophy is a volunteer computing project that runs on the BOINC platform.

Contents

It is a joint effort of the French muscular dystrophy charity, L'Association française contre les myopathies; [1] and L'Institut de biologie moléculaire et cellulaire (Molecular and Cellular Biology Institute).

Project purpose

Help Cure Muscular Dystrophy studies the function of various proteins that are produced by the two hundred genes known to be involved in the production of neuromuscular proteins by modelling the protein-protein interactions of the forty thousand relevant proteins that are listed in the Protein Data Bank. More specifically, it models how a protein would be affected when another protein or a ligand docks with it. [2]

Scientific publications

See also

References

  1. ↑ "French Muscular Dystrophy Association". Archived from the original on 2009-12-01. Retrieved 2009-10-30.
  2. ↑ "Help Cure Muscular Dystrophy - Phase 2 | Research | World Community Grid". www.worldcommunitygrid.org. Retrieved 2022-09-10.
  3. ↑ Dequeker, Chloé; Laine, Elodie; Carbone, Alessandra (November 2019). "Decrypting protein surfaces by combining evolution, geometry, and molecular docking". Proteins: Structure, Function, and Bioinformatics. 87 (11): 952–965. doi:10.1002/prot.25757. ISSN   0887-3585. PMC   6852240 . PMID   31199528.
  4. ↑ Lagarde, Nathalie; Carbone, Alessandra; Sacquin-Mora, Sophie (July 2018). "Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions". Proteins: Structure, Function, and Bioinformatics. 86 (7): 723–737. doi:10.1002/prot.25506. PMID   29664226. S2CID   4900895.
  5. ↑ Laine, Elodie; Carbone, Alessandra (January 2017). "Protein social behavior makes a stronger signal for partner identification than surface geometry: Protein Social Behavior". Proteins: Structure, Function, and Bioinformatics. 85 (1): 137–154. doi:10.1002/prot.25206. PMC   5242317 . PMID   27802579.
  6. ↑ Vamparys, Lydie; Laurent, Benoist; Carbone, Alessandra; Sacquin-Mora, Sophie (October 2016). "Great interactions: How binding incorrect partners can teach us about protein recognition and function". Proteins: Structure, Function, and Bioinformatics. 84 (10): 1408–1421. doi:10.1002/prot.25086. ISSN   0887-3585. PMC   5516155 . PMID   27287388.
  7. ↑ Lopes, Anne; Sacquin-Mora, Sophie; Dimitrova, Viktoriya; Laine, Elodie; Ponty, Yann; Carbone, Alessandra (2013-12-05). Kann, Maricel (ed.). "Protein-Protein Interactions in a Crowded Environment: An Analysis via Cross-Docking Simulations and Evolutionary Information". PLOS Computational Biology. 9 (12) e1003369. Bibcode:2013PLSCB...9E3369L. doi: 10.1371/journal.pcbi.1003369 . ISSN   1553-7358. PMC   3854762 . PMID   24339765. S2CID   5880229.
  8. ↑ Bertis, Viktors; Bolze, Raphaël; Desprez, Frédéric; Reed, Kevin (December 2009). "From Dedicated Grid to Volunteer Grid: Large Scale Execution of a Bioinformatics Application" . Journal of Grid Computing. 7 (4): 463–478. doi:10.1007/s10723-009-9130-7. ISSN   1570-7873. S2CID   22791104.
  9. ↑ Engelen, Stefan; Trojan, Ladislas A.; Sacquin-Mora, Sophie; Lavery, Richard; Carbone, Alessandra (2009-01-23). Levitt, Michael (ed.). "Joint Evolutionary Trees: A Large-Scale Method To Predict Protein Interfaces Based on Sequence Sampling". PLOS Computational Biology. 5 (1) e1000267. Bibcode:2009PLSCB...5E0267E. doi: 10.1371/journal.pcbi.1000267 . ISSN   1553-7358. PMC   2613531 . PMID   19165315. S2CID   12292219.
  10. ↑ Sacquin-Mora, Sophie; Carbone, Alessandra; Lavery, Richard (October 2008). "Identification of Protein Interaction Partners and Protein–Protein Interaction Sites" . Journal of Molecular Biology. 382 (5): 1276–1289. doi:10.1016/j.jmb.2008.08.002. PMID   18708070.


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