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==List of scientific publications==
==List of scientific publications==
* Dequeker, Chloé, Elodie Laine and Alessandra Carbone. Decrypting protein surfaces by combining evolution, geometry, and molecular docking. Proteins: Structure, Function, and Bioinformatics (2019). DOI: 10.1002/prot.25757.
* Decrypting protein surfaces by combining evolution, geometry, and molecular docking. Proteins: Structure, Function, and Bioinformatics (2019). <ref>{{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}}</ref>
* Lagarde, Nathalie, Alessandra Carbone and Sophie Sacquin-Mora. Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions. Proteins: Structure, Function, and Bioinformatics (2018). DOI: 10.1002/prot.25506.
* Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions. Proteins: Structure, Function, and Bioinformatics (2018).<ref>{{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 }}</ref>
* Laine, Elodie and Alessandra Carbone. Protein social behavior makes a stronger signal for partner identification than surface geometry. Proteins: Structure, Function, and Bioinformatics (2017). DOI: 10.1002/prot.25206.
* Protein social behavior makes a stronger signal for partner identification than surface geometry. Proteins: Structure, Function, and Bioinformatics (2017).<ref>{{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 }}</ref>
* Vamparys, Lydie, Benoist Laurent, Alessandra Carbone and Sophie Sacquin-Mora. Great interactions: How binding incorrect partners can teach us about protein recognition and function. Proteins: Structure, Function, and Bioinformatics (2016). DOI: 10.1002/prot.25086.
* Great interactions: How binding incorrect partners can teach us about protein recognition and function. Proteins: Structure, Function, and Bioinformatics (2016).<ref>{{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}}</ref>
* Lopes, Anne, Sophie Sacquin-Mora, Viktoriya Dimitrova, Elodie Laine, Yann Ponty and Alessandra Carbone. Protein-Protein Interactions in a Crowded Environment: An Analysis via Cross-Docking Simulations and Evolutionary Information. PLOS Computational Biology (2013). DOI: 10.1371/journal.pcbi.1003369.
* Protein-Protein Interactions in a Crowded Environment: An Analysis via Cross-Docking Simulations and Evolutionary Information. PLOS Computational Biology (2013).<ref>{{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 |url=https://dx.plos.org/10.1371/journal.pcbi.1003369 |journal=PLOS Computational Biology |language=en |volume=9 |issue=12 |pages=e1003369 |doi=10.1371/journal.pcbi.1003369 |pmid=24339765 |bibcode=2013PLSCB...9E3369L |s2cid=5880229 |issn=1553-7358}}</ref>
* Bertis, Viktors, Raphaël Bolze, Frédéric Desprez and Kevin Reed. From Dedicated Grid to Volunteer Grid: Large Scale Execution of a Bioinformatics Application. Journal of Grid Computing (2009). DOI: 10.1007/s10723-009-9130-7.
* From Dedicated Grid to Volunteer Grid: Large Scale Execution of a Bioinformatics Application. Journal of Grid Computing (2009).<ref>{{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}}</ref>
* Engelen, Stefan, Ladislas A. Trojan, Sophie Sacquin-Mora, Richard Lavery and Alessandra Carbone. Joint Evolutionary Trees: A Large-Scale Method To Predict Protein Interfaces Based on Sequence Sampling. PLOS Computational Biology (2009). DOI: 10.1371/journal.pcbi.1000267.
* Joint Evolutionary Trees: A Large-Scale Method To Predict Protein Interfaces Based on Sequence Sampling. PLOS Computational Biology (2009).<ref>{{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 |url=https://dx.plos.org/10.1371/journal.pcbi.1000267 |journal=PLOS Computational Biology |language=en |volume=5 |issue=1 |pages=e1000267 |doi=10.1371/journal.pcbi.1000267 |pmid=19165315 |bibcode=2009PLSCB...5E0267E |s2cid=12292219 |issn=1553-7358}}</ref>
* Sacquin-Mora, Sophie, Alessandra Carbone and Richard Lavery. Identification of Protein Interaction Partners and Protein–Protein Interaction Sites. Journal of Molecular Biology (2008). DOI: 10.1016/j.jmb.2008.08.002.
* Identification of Protein Interaction Partners and Protein–Protein Interaction Sites. Journal of Molecular Biology (2008).<ref>{{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 }}</ref>


==See also==
==See also==

Revision as of 14:27, 16 July 2023

WCG screensaver, Help Cure Muscular Dystrophy - Phase 2

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

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]

List of scientific publications

  • Decrypting protein surfaces by combining evolution, geometry, and molecular docking. Proteins: Structure, Function, and Bioinformatics (2019). [3]
  • Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions. Proteins: Structure, Function, and Bioinformatics (2018).[4]
  • Protein social behavior makes a stronger signal for partner identification than surface geometry. Proteins: Structure, Function, and Bioinformatics (2017).[5]
  • Great interactions: How binding incorrect partners can teach us about protein recognition and function. Proteins: Structure, Function, and Bioinformatics (2016).[6]
  • Protein-Protein Interactions in a Crowded Environment: An Analysis via Cross-Docking Simulations and Evolutionary Information. PLOS Computational Biology (2013).[7]
  • From Dedicated Grid to Volunteer Grid: Large Scale Execution of a Bioinformatics Application. Journal of Grid Computing (2009).[8]
  • Joint Evolutionary Trees: A Large-Scale Method To Predict Protein Interfaces Based on Sequence Sampling. PLOS Computational Biology (2009).[9]
  • Identification of Protein Interaction Partners and Protein–Protein Interaction Sites. Journal of Molecular Biology (2008).[10]

See also

External links

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. PMID 24339765. S2CID 5880229.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  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. PMID 19165315. S2CID 12292219.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  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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