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9.20 Sample Peptide
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To model a peptide using the ICM Biased Probability Monte Carlo method:

  • MolMechanics/Sample Peptide
  • Enter a name for the simulation.
  • Enter the one letter amino acid code for the peptide.
  • Choose whether the peptide is cyclic or not.
  • Determine the state of the N-terminus and C-terminus.
  • Add a value for the effort. This represents the length of the simulation - values between 1 and 10 will give a thorough sampling. A larger effort value will be needed for longer peptides.
  • When the simulation is finished a stack of conformations will be displayed in the ICM workspace.


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