Help Cure Muscular Dystrophy

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.{{Cite web |title=Help Cure Muscular Dystrophy - Phase 2 {{!}} Research {{!}} World Community Grid |url=https://www.worldcommunitygrid.org/research/hcmd2/overview.s |access-date=2022-09-10 |website=www.worldcommunitygrid.org}}

• Decrypting protein surfaces by combining evolution, geometry, and molecular docking. Proteins: Structure, Function, and Bioinformatics (2019). {{Cite journal |last1=Dequeker |first1=Chloé |last2=Laine |first2=Elodie |last3=Carbone |first3=Alessandra |date=November 2019 |title=Decrypting protein surfaces by combining evolution, geometry, and molecular docking |journal=Proteins: Structure, Function, and Bioinformatics |language=en |volume=87 |issue=11 |pages=952–965 |doi=10.1002/prot.25757 |pmid=31199528 |pmc=6852240 |issn=0887-3585}}
• Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions. Proteins: Structure, Function, and Bioinformatics (2018).{{Cite journal |last1=Lagarde |first1=Nathalie |last2=Carbone |first2=Alessandra |last3=Sacquin-Mora |first3=Sophie |date=July 2018 |title=Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions |url=https://onlinelibrary.wiley.com/doi/10.1002/prot.25506 |journal=Proteins: Structure, Function, and Bioinformatics |language=en |volume=86 |issue=7 |pages=723–737 |doi=10.1002/prot.25506|pmid=29664226 |s2cid=4900895 }}
• Protein social behavior makes a stronger signal for partner identification than surface geometry. Proteins: Structure, Function, and Bioinformatics (2017).{{Cite journal |last1=Laine |first1=Elodie |last2=Carbone |first2=Alessandra |date=January 2017 |title=Protein social behavior makes a stronger signal for partner identification than surface geometry: Protein Social Behavior |journal=Proteins: Structure, Function, and Bioinformatics |language=en |volume=85 |issue=1 |pages=137–154 |doi=10.1002/prot.25206|pmid=27802579 |pmc=5242317 }}
• Great interactions: How binding incorrect partners can teach us about protein recognition and function. Proteins: Structure, Function, and Bioinformatics (2016).{{Cite journal |last1=Vamparys |first1=Lydie |last2=Laurent |first2=Benoist |last3=Carbone |first3=Alessandra |last4=Sacquin-Mora |first4=Sophie |date=October 2016 |title=Great interactions: How binding incorrect partners can teach us about protein recognition and function |journal=Proteins: Structure, Function, and Bioinformatics |language=en |volume=84 |issue=10 |pages=1408–1421 |doi=10.1002/prot.25086 |pmid=27287388 |pmc=5516155 |issn=0887-3585}}
• Protein-Protein Interactions in a Crowded Environment: An Analysis via Cross-Docking Simulations and Evolutionary Information. PLOS Computational Biology (2013).{{Cite journal |last1=Lopes |first1=Anne |last2=Sacquin-Mora |first2=Sophie |last3=Dimitrova |first3=Viktoriya |last4=Laine |first4=Elodie |last5=Ponty |first5=Yann |last6=Carbone |first6=Alessandra |date=2013-12-05 |editor-last=Kann |editor-first=Maricel |title=Protein-Protein Interactions in a Crowded Environment: An Analysis via Cross-Docking Simulations and Evolutionary Information |journal=PLOS Computational Biology |language=en |volume=9 |issue=12 |pages=e1003369 |doi=10.1371/journal.pcbi.1003369 |pmid=24339765 |pmc=3854762 |bibcode=2013PLSCB...9E3369L |s2cid=5880229 |issn=1553-7358 |doi-access=free }}
• From Dedicated Grid to Volunteer Grid: Large Scale Execution of a Bioinformatics Application. Journal of Grid Computing (2009).{{Cite journal |last1=Bertis |first1=Viktors |last2=Bolze |first2=Raphaël |last3=Desprez |first3=Frédéric |last4=Reed |first4=Kevin |date=December 2009 |title=From Dedicated Grid to Volunteer Grid: Large Scale Execution of a Bioinformatics Application |url=http://link.springer.com/10.1007/s10723-009-9130-7 |journal=Journal of Grid Computing |language=en |volume=7 |issue=4 |pages=463–478 |doi=10.1007/s10723-009-9130-7 |s2cid=22791104 |issn=1570-7873}}
• Joint Evolutionary Trees: A Large-Scale Method To Predict Protein Interfaces Based on Sequence Sampling. PLOS Computational Biology (2009).{{Cite journal |last1=Engelen |first1=Stefan |last2=Trojan |first2=Ladislas A. |last3=Sacquin-Mora |first3=Sophie |last4=Lavery |first4=Richard |last5=Carbone |first5=Alessandra |date=2009-01-23 |editor-last=Levitt |editor-first=Michael |title=Joint Evolutionary Trees: A Large-Scale Method To Predict Protein Interfaces Based on Sequence Sampling |journal=PLOS Computational Biology |language=en |volume=5 |issue=1 |pages=e1000267 |doi=10.1371/journal.pcbi.1000267 |pmid=19165315 |pmc=2613531 |bibcode=2009PLSCB...5E0267E |s2cid=12292219 |issn=1553-7358 |doi-access=free }}
• Identification of Protein Interaction Partners and Protein–Protein Interaction Sites. Journal of Molecular Biology (2008).{{Cite journal |last1=Sacquin-Mora |first1=Sophie |last2=Carbone |first2=Alessandra |last3=Lavery |first3=Richard |date=October 2008 |title=Identification of Protein Interaction Partners and Protein–Protein Interaction Sites |url=https://linkinghub.elsevier.com/retrieve/pii/S002228360800973X |journal=Journal of Molecular Biology |language=en |volume=382 |issue=5 |pages=1276–1289 |doi=10.1016/j.jmb.2008.08.002|pmid=18708070 }}

• BOINC
• List of volunteer computing projects
• Muscular dystrophy
• World Community Grid

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• [http://www.worldcommunitygrid.org/research/hcmd/details.do Help Cure Muscular Dystrophy]

{{BOINC projects}}

Category:Berkeley Open Infrastructure for Network Computing projects

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Category:Muscular dystrophy organizations

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