Biased Monte Carlo optimization of protein sequences
We demonstrate the application of a biased Monte Carlo method for the optimization of protein sequences. The concept of configurational-biased Monte Carlo has been used, but applied to sequence/composition rather than coordinates. Sequences of two-dimensional lattice proteins were optimized with the new approach and results compared with conventional Monte Carlo and a self-consistent mean-field (SCMF) method. Biased Monte Carlo(MC) was far more efficient than conventional MC, especially on more...[Show more]
|Collections||ANU Research Publications|
|Source:||The Journal of Chemical Physics|
|01_Cootes_Biased_Monte_Carlo_2000.pdf||458.4 kB||Adobe PDF|
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