Biased Monte Carlo optimization of protein sequences

Adrian P. Cootes, P. M G Curmi, Andrew E. Torda

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

The biased Monte Carlo method is used to optimize the amino acid sequences. The sequences optimized from the approach are then compared with conventional Monte Carlo and a self-consistent mean-field (SCMF) method. For more complex systems, the biased Monte Carlo method is found to be more efficient. However, biased Monte Carlo does not converge as quickly as SCMF, but often found better sequences.

Original languageEnglish
Pages (from-to)2489-2496
Number of pages8
JournalJournal of Chemical Physics
Volume113
Issue number6
DOIs
Publication statusPublished - Aug 2000

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