2011
DOI: 10.1093/bioinformatics/btr497
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iMod: multipurpose normal mode analysis in internal coordinates

Abstract: Supplementary data are available at Bioinformatics online.

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Cited by 223 publications
(198 citation statements)
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“…All MD simulations analysed in this paper were extracted from the MoDEL database 39 , a large collection of atomistic trajectories for representative protein folds computed using state-of-the art standard protocols. High-frequency motions from MD simulations were filtered by PCA using pcatool, a development tool for the calibration of NMA calculations against MD and experimental structural ensembles 53 .…”
Section: Methodsmentioning
confidence: 99%
“…All MD simulations analysed in this paper were extracted from the MoDEL database 39 , a large collection of atomistic trajectories for representative protein folds computed using state-of-the art standard protocols. High-frequency motions from MD simulations were filtered by PCA using pcatool, a development tool for the calibration of NMA calculations against MD and experimental structural ensembles 53 .…”
Section: Methodsmentioning
confidence: 99%
“…Additional rigid and flexible body fitting was carried out for the empty CVA9-integrin ␣ v ␤ 6 density map. The capsid map containing the X-ray structure of CVA9 was zoned to a single asymmetric unit using the Zone feature in Chimera (47) with a zoning radius of 12 Å, followed by flexible fitting in iMODFIT (48) where all the dihedral angles were fixed and only rotation and translation of internal coordinates were allowed. The iMODFIT protocol was followed as described for dealing with huge systems on http://chaconlab.org /imodfit/faq.html.…”
Section: Methodsmentioning
confidence: 99%
“…Concretely, iMod [9] is a tool chest that exploits the advantage of NMA formulations in internal coordinates (ICs) while extending them to cover multi-scale modeling. Despite the reduction in the degrees of freedom offered by ICs, the diagonalization step remains the major computational bottleneck of this approach, specially for large molecules.…”
Section: Introductionmentioning
confidence: 99%