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Fitting PB1-p62 filaments model structure into its electron microscopy based on an improved genetic algorithm

Author

Listed:
  • Zhihong Zhao

    (Nanjing Institute of Industry Technology)

  • Beibei Li

    (Shanghai Polytechnic University)

  • Jun Liu

    (Shanghai Jiaotong University)

Abstract

This paper presents a method to realize fitting PDB of protein molecule PB1-p62 into its EM in PB1 domain, based on rotation group SO(3) theory. An image partition method is adopted on the EM images before performing sampling process. Different sample points are distributed on the different EM image partitioned areas. The number of these sample points may be controlled by an improved genetic algorithm. Through iteration, we may get the optimum and then obtain the satisfactory fitting.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:jcomop:v:42:y:2021:i:4:d:10.1007_s10878-019-00483-1
    DOI: 10.1007/s10878-019-00483-1
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    References listed on IDEAS

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    1. 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.
    2. Jihong Yan & Wenliang Cheng & Chengyu Wang & Jun Liu & Ming Gao & Aoying Zhou, 2015. "Optimizing word set coverage for multi-event summarization," Journal of Combinatorial Optimization, Springer, vol. 30(4), pages 996-1015, November.
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