Sequence Design in Coarse-Grained Protein Models

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Sequence Design in Coarse-Grained Protein Models

Designing amino acid sequences that are stable in a given target structure amounts to maximizing a conditional probability. A straightforward approach to accomplish this is a nested Monte Carlo where the conformation space is explored over and over again for different fixed sequences. In this paper we discuss an alternative Monte Carlo approach, multisequence design, where conformation and sequ...

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Folding and Design in Coarse-Grained Protein Models

Recent advances in coarse-grained lattice and off-lattice protein models are reviewed. The sequence dependence of thermodynamical folding properties are investigated and evidence for non-randomness of the binary sequences of good folders are discussed. Similar patterns for non-randomness are found for real proteins. Dynamical parameter MC methods, such as the tempering and multisequence algorit...

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Design of sequences with good folding properties in coarse-grained protein models.

BACKGROUND Designing amino acid sequences that are stable in a given target structure amounts to maximizing a conditional probability. A straightforward approach to accomplishing this is a nested Monte Carlo where the conformation space is explored over and over again for different fixed sequences; this requires excessive computational demand. Several approximate attempts to remedy this situati...

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ژورنال

عنوان ژورنال: Progress of Theoretical Physics Supplement

سال: 2000

ISSN: 0375-9687

DOI: 10.1143/ptps.138.273