Abstract
Protein structures are often solved at atomic resolution in two states defining a functional movement but intervening conformations are usually unknown. Morphing methods generate intervening conformations between two known structures. When viewed as an animation using molecular graphics, a smooth, direct morph enables the eye to track changes in structure that might be otherwise missed. We present a morphing method that aims to linearly interpolate interatomic distances and which uses SMACOF (Scaling by MAjorisation of COmplicated Function) and multigrid techniques with a cut-off distance based weighting that optimizes the MolProbity score of intervening structures. The all-atom morphs are smooth, move directly between the two structures, and are shown, in general, to pass closer to a set of known intermediates than those generated using other methods. The techniques are also used for docking by putting the unbound structures in a “near-approach pose” and then morphing to the bound complex. The resulting GPU-accelerated tools are available on a webserver, Morphit_Pro, at http://morphit-pro.cmp.uea.ac.uk/ and more than 5000 domains movements available at the DynDom website can now be viewed as morphs http://morphit-pro.cmp.uea.ac.uk/dyndom/.
Original language | English |
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Pages (from-to) | 108-116 |
Number of pages | 9 |
Journal | Journal of Molecular Graphics and Modelling |
Volume | 82 |
Early online date | 25 Apr 2018 |
DOIs | |
Publication status | Published - Jun 2018 |
Profiles
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Steven Hayward
- School of Computing Sciences - Professor of Computational Biology
- Centre for Japanese Studies - Member
- Computational Biology - Member
Person: Research Group Member, Research Centre Member, Academic, Teaching & Research