Computational characterization of the sequence landscape in simple protein alphabets

M Scott Shell1, Pablo G Debenedetti, Athanassios Z Panagiotopoulos

  • 1Department of Chemical Engineering, Princeton University, Princeton, NJ 08544, USA. shell@princeton.edu

Proteins
|November 15, 2005
PubMed
Summary

We explored protein sequence landscapes and their mutation properties using Monte Carlo simulations. Different energy functions significantly impact landscape smoothness and protein design strategies.

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