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Fitting $$\alpha $$ α $$\beta $$ β -crystalline structure onto electron microscopy based on SO(3) rotation group theory

Author

Listed:
  • Beibei Li

    (Shanghai Second Polytechnic University
    The University of Texas at Austin)

  • Zhihong Zhao

    (The University of Texas at Austin
    Nanjing Institute of Industry Technology)

  • Xuan Shen

    (Dalian University of Technology)

  • Cendi Xue

    (Southwest Jiaotong University)

  • Liwei Zhong

    (Shanghai Jiaotong University
    Shanghai University)

Abstract

Based on SO(3) rotation group theory, a method is presented to fit $$\alpha $$ α $$\beta $$ β -crystalline structure on to its corresponding electron microscopy (EM) model for the further diagnosis of crystalline disease. Taken EM model as a kind of $$\alpha $$ α $$\beta $$ β -crystalline model rotation deformation, image processing techniques are firstly preformed and then mesh generation adopted on the obtained EM, depending upon its molecular features. Secondly, rigid-body fitting is performed to fit $$\alpha $$ α $$\beta $$ β -crystalline Protein Data Bank (PDB) data onto its EM by using SO(3) rotation group theory. Among the fitting process, FFT is adopted to tackle the problems of large data and high computation. The PDB file is obtained from NCBI and EM file obtained from EMBL-EBI. All of the tools are developed by CVC, ICES, the University of Texas at Austin. The experimental results show that it’s a precise and efficient method of fitting $$\alpha $$ α $$\beta $$ β -crystalline PDB crystal structure onto its EM model.

Suggested Citation

  • Beibei Li & Zhihong Zhao & Xuan Shen & Cendi Xue & Liwei Zhong, 2015. "Fitting $$\alpha $$ α $$\beta $$ β -crystalline structure onto electron microscopy based on SO(3) rotation group theory," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 906-919, November.
  • Handle: RePEc:spr:jcomop:v:30:y:2015:i:4:d:10.1007_s10878-015-9858-x
    DOI: 10.1007/s10878-015-9858-x
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    References listed on IDEAS

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    1. Liwei Zhong & Shoucheng Luo & Lidong Wu & Lin Xu & Jinghui Yang & Guochun Tang, 2014. "A two-stage approach for surgery scheduling," Journal of Combinatorial Optimization, Springer, vol. 27(3), pages 545-556, April.
    2. Paula C. A. da Fonseca & Eric H. Kong & Ziguo Zhang & Anne Schreiber & Mark. A. Williams & Edward P. Morris & David Barford, 2011. "Structures of APC/CCdh1 with substrates identify Cdh1 and Apc10 as the D-box co-receptor," Nature, Nature, vol. 470(7333), pages 274-278, February.
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    Cited by:

    1. Zhihong Zhao & Beibei Li & Jun Liu, 2021. "Fitting PB1-p62 filaments model structure into its electron microscopy based on an improved genetic algorithm," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 937-947, November.

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