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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