Literature DB >> 12876338

Fast rotational matching of rigid bodies by fast Fourier transform acceleration of five degrees of freedom.

Julio A Kovacs1, Pablo Chacón, Yao Cong, Essam Metwally, Willy Wriggers.   

Abstract

The 'fast rotational matching' method (an approach to find the three rotational degrees of freedom in matching problems using just one three-dimensional FFT) is extended to the full six-dimensional (rotation and translation) matching scenario between two three-dimensional objects. By recasting this problem into a formulation involving five angles and just one translational parameter, it was possible to accelerate, by means of fast Fourier transforms, five of the six degrees of freedom of the problem. This method was successfully applied to the docking of atomic structures of components into three-dimensional low-resolution density maps. Timing comparisons performed with our method and with 'fast translational matching' (the standard way to accelerate the translational parameters utilizing fast Fourier transforms) demonstrates that the performance gain can reach several orders of magnitude, especially for large map sizes. This gain can be particularly advantageous for spherical- and toroidal-shaped maps, since the scanning range of the translational parameter would be significantly constrained in these cases. The method can also be harnessed to the complementary surface (or 'exterior docking') problem and to pattern recognition in image processing.

Mesh:

Year:  2003        PMID: 12876338     DOI: 10.1107/s0907444903011247

Source DB:  PubMed          Journal:  Acta Crystallogr D Biol Crystallogr        ISSN: 0907-4449


  18 in total

1.  F2Dock: fast Fourier protein-protein docking.

Authors:  Chandrajit Bajaj; Rezaul Chowdhury; Vinay Siddavanahalli
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2011 Jan-Mar       Impact factor: 3.710

2.  Quantitative analysis of cryo-EM density map segmentation by watershed and scale-space filtering, and fitting of structures by alignment to regions.

Authors:  Grigore D Pintilie; Junjie Zhang; Thomas D Goddard; Wah Chiu; David C Gossard
Journal:  J Struct Biol       Date:  2010-03-23       Impact factor: 2.867

3.  Fingerprint-based structure retrieval using electron density.

Authors:  Shuangye Yin; Nikolay V Dokholyan
Journal:  Proteins       Date:  2011-01-03

4.  NONUNIFORM FOURIER TRANSFORMS FOR RIGID-BODY AND MULTI-DIMENSIONAL ROTATIONAL CORRELATIONS.

Authors:  Chandrajit Bajaj; Benedikt Bauer; Radhakrishna Bettadapura; Antje Vollrath
Journal:  SIAM J Sci Comput       Date:  2013-07-01       Impact factor: 2.373

5.  FRODOCK: a new approach for fast rotational protein-protein docking.

Authors:  José Ignacio Garzon; José Ramón Lopéz-Blanco; Carles Pons; Julio Kovacs; Ruben Abagyan; Juan Fernandez-Recio; Pablo Chacon
Journal:  Bioinformatics       Date:  2009-07-20       Impact factor: 6.937

6.  Accelerating and focusing protein-protein docking correlations using multi-dimensional rotational FFT generating functions.

Authors:  David W Ritchie; Dima Kozakov; Sandor Vajda
Journal:  Bioinformatics       Date:  2008-06-30       Impact factor: 6.937

7.  Classification and 3D averaging with missing wedge correction in biological electron tomography.

Authors:  A Bartesaghi; P Sprechmann; J Liu; G Randall; G Sapiro; S Subramaniam
Journal:  J Struct Biol       Date:  2008-03-21       Impact factor: 2.867

8.  Protein-protein docking by fast generalized Fourier transforms on 5D rotational manifolds.

Authors:  Dzmitry Padhorny; Andrey Kazennov; Brandon S Zerbe; Kathryn A Porter; Bing Xia; Scott E Mottarella; Yaroslav Kholodov; David W Ritchie; Sandor Vajda; Dima Kozakov
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-13       Impact factor: 11.205

9.  PRISM-EM: template interface-based modelling of multi-protein complexes guided by cryo-electron microscopy density maps.

Authors:  Guray Kuzu; Ozlem Keskin; Ruth Nussinov; Attila Gursoy
Journal:  Acta Crystallogr D Struct Biol       Date:  2016-09-20       Impact factor: 7.652

10.  A fast mathematical programming procedure for simultaneous fitting of assembly components into cryoEM density maps.

Authors:  Shihua Zhang; Daven Vasishtan; Min Xu; Maya Topf; Frank Alber
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

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