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An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data
Authors:Jianbo Lu  Guoliang Xu  Shihua Zhang  Benzhuo Lu
Institution:1.Human Genetics Resource Center,National Research Institute for Family Planning,Beijing,China;2.Graduate School of Peking Union Medical College,Beijing,China;3.National Center for Mathematics and Interdisciplinary Sciences,Academy of Mathematics and Systems Science, Chinese Academy of Sciences,Beijing,China
Abstract:

Background

Superpositioning is an important problem in structural biology. Determining an optimal superposition requires a one-to-one correspondence between the atoms of two proteins structures. However, in practice, some atoms are missing from their original structures. Current superposition implementations address the missing data crudely by ignoring such atoms from their structures.

Results

In this paper, we propose an effective method for superpositioning pairwise and multiple structures without sequence alignment. It is a two-stage procedure including data reduction and data registration.

Conclusions

Numerical experiments demonstrated that our method is effective and efficient. The code package of protein structure superposition method for addressing the cases with missing data is implemented by MATLAB, and it is freely available from: http://sourceforge.net/projects/pssm123/files/?source=navbar
Keywords:
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