The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Using cellular automata images and pseudo amino acid composition to predict protein subcellular location
Open accessAbstract
Summary.The avalanche of newly found protein sequences in the post-genomic era has motivated and challenged us to develop an automated method that can rapidly and accurately predict the localization of an uncharacterized protein in cells because the knowledge thus obtained can greatly speed up the process in finding its biological functions. However, it is very difficult to establish such a desired predictor by acquiring the key statistical information buried in a pile of extremely complicated and highly variable sequences. In this paper, based on the concept of the pseudo amino acid composition (Chou, K. C. PROTEINS: Structure, Function, and Genetics, 2001, 43: 246–255), the approach of cellular automata image is introduced to cope with this problem. Many important features, which are originally hidden in the long amino acid sequences, can be clearly displayed through their cellular automata images. One of the remarkable merits by doing so is that many image recognition tools can be straightforwardly applied to the target aimed here. High success rates were observed through the self-consistency, jackknife, and independent dataset tests, respectively.
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Cites
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
Portilla, J., & Simoncelli, E. P. (2000) · International Journal of Computer Vision · doi:10.1023/a:1026553619983 · Cited by 1,806
Chou, K.-C., & Cai, Y.-D. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m204161200 · Cited by 483
Self-citationSupport vector machines for predicting membrane protein types by using functional domain composition
Cai, Y.-D., Zhou, G.-P., & Chou, K.-C. (2003) · Biophysical Journal · doi:10.1016/s0006-3495(03)70050-2 · Cited by 284
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Cited by
Some remarks on protein attribute prediction and pseudo amino acid composition
Chou, K.-C. (2011) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2010.12.024 · Cited by 1,225
Self-citationDu, P., Wang, X., Xu, C., & Gao, Y. (2012) · Analytical Biochemistry · doi:10.1016/j.ab.2012.03.015 · Cited by 308
Metadata
- Authors
- Xiao, X., Shao, S., Ding, Y., Huang, Z., & Chou, K.-C.
- Venue
- Amino Acids
- Published
- 2005-07-28
- Volume
- 30
- Issue
- 1
- Pages
- 49-54
- ISSN
- 0939-4451 (ISSN-L)
- 1438-2199
- OpenAlex
- W1997996819
- Cited by
- 210
- References
- 3
- FWCI
- 9.33
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Xiao, X., Shao, S., Ding, Y., Huang, Z., & Chou, K.-C. (2006). Using cellular automata images and pseudo amino acid composition to predict protein subcellular location. Amino Acids. https://doi.org/10.1007/s00726-005-0225-6
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