2012
DOI: 10.1021/ct3004589
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A Local Rigid Body Framework for Global Optimization of Biomolecules

Abstract: 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-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full … Show more

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Cited by 38 publications
(74 citation statements)
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“…Alignment of endpoints is critically important to obtain pathways via geometry optimisation [66]. The alignment, minimising the Euclidean distance in 3N dimensions, of N distinguishable atoms in two dierent configurations is easily achieved using a quaternion procedure [67].…”
Section: Permutational Alignmentmentioning
confidence: 99%
“…Alignment of endpoints is critically important to obtain pathways via geometry optimisation [66]. The alignment, minimising the Euclidean distance in 3N dimensions, of N distinguishable atoms in two dierent configurations is easily achieved using a quaternion procedure [67].…”
Section: Permutational Alignmentmentioning
confidence: 99%
“…The analysis that follows defines quantitative conditions under which this simplification will be valid. Furthermore, our local rigidification procedure 44 provides an ideal framework for implementing this approach, and enables us to determine a minimal set of states for estimating free energies of binding.…”
Section: Factorised Superposition Approachmentioning
confidence: 99%
“…(9) is to sample local minima with the common region constrained in the reference conformation. This sampling is accomplished here using the local rigidification framework 44 . Our strategy for testing Eq.…”
Section: Factorised Superposition Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…1 Applications of such rigid-body representations in computational science are wide-ranging, from crystal structure prediction of small organic molecules, [2][3][4] to local rigidification of secondary structures in proteins and other biomolecules. 5,6 For simulations on longer length scales, coarse-grained descriptions are typically used, which may involve orientation-dependent potentials to describe nonspherical molecules with convex shapes. [7][8][9][10][11][12] To represent an anisotropic molecule or interaction potential, six degrees of freedom are required (unless the molecule is linear): three for the translation of the center of mass, and three for the orientation.…”
Section: Introductionmentioning
confidence: 99%