2002
DOI: 10.1002/prot.10030
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Essential domain motions in barnase revealed by MD simulations

Abstract: The wealth of data accumulated on the bacterial ribonuclease barnase is complemented by molecular dynamics trajectories starting from four different experimental structures and covering a total of >10 ns. Using principal component analysis, the simulations are interpreted in view of dynamic domains and hinges promoting relative motions of these domains. Two domains with residues 7-22 and 52-108 for the first domain and residues 25-51 for the second domain were consistently observed. Hinge regions consist prima… Show more

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Cited by 27 publications
(27 citation statements)
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“…It is also important to note that many of the structures had the protein's substrate bound to it, hence small differences are visible in terms of the location of flexible regions; note that residues 71-81 are more flexible from our simulations. We were able to compare our results with previously published work based on Gaussian Network Model (GNM) [9], MD simulations and NMR experiments [37,48]. As illustrated in Fig.…”
Section: Comparing With Experimental/ Theoretical Worksupporting
confidence: 55%
See 3 more Smart Citations
“…It is also important to note that many of the structures had the protein's substrate bound to it, hence small differences are visible in terms of the location of flexible regions; note that residues 71-81 are more flexible from our simulations. We were able to compare our results with previously published work based on Gaussian Network Model (GNM) [9], MD simulations and NMR experiments [37,48]. As illustrated in Fig.…”
Section: Comparing With Experimental/ Theoretical Worksupporting
confidence: 55%
“…The residues 21-48 exhibited different dynamical properties compared to the rest of the protein and hence this region was clustered into a separate region via DTA. Previous experimental work [37,48] also indicates that these residues are indeed dynamically distinct unit, forming a separate domain.…”
Section: Comparing With Experimental/ Theoretical Workmentioning
confidence: 93%
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“…Clearly, if the manifold of interest is inherently nonlinear, the low-dimensional embedding obtained by means of PCA is severely distorted. PCA is commonly used in the analysis of near-equilibrium fluctuations sampled by molecular dynamics simulations (29)(30)(31)(32)(33)(34)(35)(36), because one can usually assume that the manifold of interest can be reasonably approximated by its tangent hyperplane around an equilibrium point. However, the extent of conformational changes involved in a folding process prohibits any a priori linearization of the manifold, and nonlinear techniques need to be used.…”
Section: Dimensionality Reduction Of Folding Simulationsmentioning
confidence: 99%