2010
DOI: 10.1063/1.3456552
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Fluctuation power spectra reveal dynamical heterogeneity of peptides

Abstract: Emanuele (2010) 'Fluctuation power spectra reveal dynamical heterogeneity of peptides.', Journal of chemical physics., 133 (1). 015101.Further information on publisher's website: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record i… Show more

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Cited by 4 publications
(6 citation statements)
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“…The study proposed that the deviation could only be explained by a switch between parallel unfolding pathways and suggested that mechanical unfolding kinetics needs to account for the multidimensionality of the free-energy landscapes of proteins, which are crucial for understanding the behavior of proteins under the small forces experienced in vivo. In another study, the choice of the one-dimensional reaction coordinate probed in SMFS has been questioned due to the multidimensionality of protein energy landscapes [122]. It has been suggested that more information could be obtained about the multidimensional energy landscape from analysing the dynamical fluctuations of proteins using simulations and single molecule techniques [122].…”
Section: Associated Formula Refsmentioning
confidence: 99%
See 1 more Smart Citation
“…The study proposed that the deviation could only be explained by a switch between parallel unfolding pathways and suggested that mechanical unfolding kinetics needs to account for the multidimensionality of the free-energy landscapes of proteins, which are crucial for understanding the behavior of proteins under the small forces experienced in vivo. In another study, the choice of the one-dimensional reaction coordinate probed in SMFS has been questioned due to the multidimensionality of protein energy landscapes [122]. It has been suggested that more information could be obtained about the multidimensional energy landscape from analysing the dynamical fluctuations of proteins using simulations and single molecule techniques [122].…”
Section: Associated Formula Refsmentioning
confidence: 99%
“…In another study, the choice of the one-dimensional reaction coordinate probed in SMFS has been questioned due to the multidimensionality of protein energy landscapes [122]. It has been suggested that more information could be obtained about the multidimensional energy landscape from analysing the dynamical fluctuations of proteins using simulations and single molecule techniques [122]. Figure 17: Recent development of a high speed AFM for SMFS force spectroscopy (A) The high speed AFM setup.…”
Section: Associated Formula Refsmentioning
confidence: 99%
“…The effect of the force on the distribution can be then removed and simulations performed with different forces used simultaneously to obtain an accurate estimation of the potential of mean force for all end-to-end distances. Simulations with the application of a constant force could also provide the fluctuations of the end-to-end distance that are measurable and provide information on their viscoelastic properties and insight on the free-energy landscape of the system [50].…”
Section: Concluding Discussionmentioning
confidence: 99%
“…Of particular interest is the spectrum of the fluctuations of the end-toend distance and its dependence on the constant-force applied. Fluctuations of the end-to-end distance is a quantity that can be measured through atomic force spectroscopy [49], and that provides a dynamical fingerprint of the underlying free energy landscape of the polypeptide chain [50].…”
Section: Uses and Limitations Of The Constant-force Bias Approachmentioning
confidence: 99%
“…Using our modified CHARMM code 50 we performed BXD simulations for 5 small model peptides: (1) 10-alanine (10-ALA) previously simulated in Refs. 36, 37, and 51, (2) 10-glycine (10-GLY), 51 (3) a 20 amino acid peptide (20-AA) with the sequence THR-TRP-ILE-GLN-ASN-GLY-SER-THR-LYS-TRP-TYR-GLN-ASN-GLY-SER-THR-LYS-ILE-TYR-THR, (4) a 12 amino acid peptide (12-AA) which is simply the first 12 residues of the above 20-AA sequence, and (5) a 13 amino acid peptide (denoted as 13-AA), with the first 13 residues of a 20-AA peptide studied previously. 52 As in previous work, the CHARMM19 force-field 53 and a simple implicit solvation model 54 have been used.…”
Section: A Bxd Numerical Experimentsmentioning
confidence: 99%