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Volume fractal dimensionality: a useful parameter for measuring the complexity of 3D protein spatial structures
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Proceedings of the 2005 ACM symposium on Applied computing table of contents
Santa Fe, New Mexico
SESSION: Bioinformatics (BIO) table of contents
Pages: 172 - 176  
Year of Publication: 2005
ISBN:1-58113-964-0
Authors
Min HU  Zhejiang University Hangzhou, China
Qunsheng PENG  Zhejiang University Hangzhou, China
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

A quantitative measure for estimating the complexity of 3D protein is proposed. The measurement is based on the fractal features of protein structures. A practical method for evaluating the volume fractal dimensionality (VFD) is described. Our investigations on large data sets from PDB show that similar protein shapes have close VFD and VFD may therefore be used as a token of evolutional proteins, and for protein prediction.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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