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1 Department of Computer Science, Rice University, Houston, Texas 77005, USA
2 Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, Texas 77030, USA
3 Department of Bioengineering, Rice University, Houston, Texas 77005, USA
4 Department of Chemistry, Rice University, Houston, Texas 77005, USA
(RECEIVED July 25, 2007; FINAL REVISION November 2, 2007; ACCEPTED December 14, 2007)
We propose a method to extensively characterize the native state ensemble of cyclic cysteine-rich peptides. The method uses minimal information, namely, amino acid sequence and cyclization, as a topological feature that characterizes the native state. The method does not assume a specific disulfide bond pairing for cysteines and allows the possibility of unpaired cysteines. A detailed view of the conformational space relevant for the native state is obtained through a hierarchic multi-resolution exploration. A crucial feature of the exploration is a geometric approach that efficiently generates a large number of distinct cyclic conformations independently of one another. A spatial and energetic analysis of the generated conformations associates a free-energy landscape to the explored conformational space. Application to three long cyclic peptides of different folds shows that the conformational ensembles and cysteine arrangements associated with free energy minima are fully consistent with available experimental data. The results provide a detailed analysis of the native state features of cyclic peptides that can be further tested in experiment.
Keywords: native state ensemble; free-energy landscape; cysteine rearrangements; cyclic cysteine-rich peptides
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