2017
DOI: 10.1002/jcb.25984
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Deciphering the Molecular Effects of Mutations on ATRX Cause ATRX Syndrome: A Molecular Dynamics Study

Abstract: α-thalassemia mental retardation X-linked (ATRX) syndrome is caused by the dysfunction of ATRFfigX protein. The present study explored the structural consequences influenced by two observed mutations V194I and C220R on ADD domain of ATRX protein by applying all atom molecular dynamics (MD) simulation. MD result showed that both the mutants exhibited wide variations in their backbone dynamics, as a result, mutant V210I showed complete distortion on α3 and the mutant C220R displayed a biased disruption on α2-3. … Show more

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Cited by 5 publications
(3 citation statements)
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“…This statistical technique extracts the correlated structural motions responsible for the largest variance (essential motions) in a molecular trajectory using a covariance matrix constructed from the atomic positions (Cartesian coordinates) [27]. Generally, the first eigenvectors of the covariance matrix, also called PCs, successfully describe almost all essential subsets of protein conformations [28]. Thus, the projection of a protein trajectory on the first PCs is useful to describe its essential dynamics [25].…”
Section: Plos Onementioning
confidence: 99%
“…This statistical technique extracts the correlated structural motions responsible for the largest variance (essential motions) in a molecular trajectory using a covariance matrix constructed from the atomic positions (Cartesian coordinates) [27]. Generally, the first eigenvectors of the covariance matrix, also called PCs, successfully describe almost all essential subsets of protein conformations [28]. Thus, the projection of a protein trajectory on the first PCs is useful to describe its essential dynamics [25].…”
Section: Plos Onementioning
confidence: 99%
“…PCA is a statistical technique applied in molecular modeling to reduce the complexity of the data that characterize dominant conformational movements in proteins during molecular dynamics simulations ( 73 ). PCA describes them through the significance of the collective movements of the structure that are converted into main movements during the molecular dynamics simulations, that is, the number of dimensions necessary to describe the conformation dynamics is reduced by decomposing its movements from a larger spatial scale to those of a smaller scale ( 74 , 75 ). For this work, the default values of the gmx hbond module were used from the Gromacs 2019 modules.…”
Section: Methodsmentioning
confidence: 99%
“…A modified Berendsen thermostat algorithm V-rescale was applied to preserve the temperature (300 K) for protein and non-protein coupling groups. Further, the Parrinello–Rahman pressure coupling algorithm was employed to make a system with uniform scaling of box vectors with 1 bar under a constant temperature of 300 K. Finally, a production run of 200 ns simulations was carried out for both wt-PrP and its mutant and each conformation saved at a regular time interval of 10 ps. Analyses of trajectories were performed using GROMACS in-built utilities such as gmx rms (root-mean-square deviation), gmx hbond (hydrogen bond), and gmx sham (free energy landscape). DSSP (Dictionary of Secondary Structure of Proteins) program was applied to monitor the evolution of secondary structural elements in the wt-PrP and its mutant as a function of time.…”
Section: Methodsmentioning
confidence: 99%