Computational Protein Design. 4. A Practical Exercise
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Computational Protein Design. 4. A Practical Exercise

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Computational Protein Design. 4. A Practical Exercise Computational Protein Design. 4. A Practical Exercise Presentation Transcript

  • Computational Protein Design 4. Practical Exercise Pablo Carbonell pablo.carbonell@issb.genopole.fr iSSB, Institute of Systems and Synthetic Biology Genopole, University d’Évry-Val d’Essonne, France mSSB: December 2010Pablo Carbonell (iSSB) Computational Protein Design mSSB: December 2010 1/4
  • Objective: A Primer to the In Silico Protein Design Cycle 1 Problem formulation. Analysis of binding regions of a protein of interest. 2 Model building. Prediction of hot-spots of affinity from the structal model of the interacting complex between the protein and its partner. 3 Design. Perform an in silico saturation mutagenesis for key residues and select best variants. 4 Validation. Database and literature search, in order to compare predictions with experimental mutagenesis data. 5 Implementation. Implement a protein design strategy. Pablo Carbonell (iSSB) Computational Protein Design mSSB: December 2010 2/4
  • Let’s do it!Please, proceed to: http://bioretrosynth.issb.genopole.fr/wiki/MSSBProtDes2010... and good luck!!! Pablo Carbonell (iSSB) Computational Protein Design mSSB: December 2010 3/4
  • Computational Protein Design 4. Practical Exercise Pablo Carbonell pablo.carbonell@issb.genopole.fr iSSB, Institute of Systems and Synthetic Biology Genopole, University d’Évry-Val d’Essonne, France mSSB: December 2010Pablo Carbonell (iSSB) Computational Protein Design mSSB: December 2010 4/4