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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guang-Zheng Zhang De-Shuang Huang Hong-Qiang Wang |
| Copyright Year | 2004 |
| Description | Author affiliation: HeFei Inst. of Intelligent Machines, Chinese Acad. of Sci., Anhui, China (Guang-Zheng Zhang) |
| Abstract | In this paper, based on the 340 protein sequences and their corresponding secondary structures got from the protein data bank (PDB), we group the 20 different amino acids into f (former), b (breaker) and n (neutral) according to their occurring frequencies in the three-state secondary structures (/spl alpha/-helix, /spl beta/-sheets and coil), which reflect the intrinsic preference of that amino acid for a given type of secondary structure. Then we use this information to improve the protein secondary structure prediction (SSP) accuracy and get a better performance than the previous methods. |
| File Size | 260307 |
| File Format | |
| ISBN | 0780384849 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2004.1327175 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-05-17 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Proteins Amino acids Neural networks Accuracy Coils Machine intelligence Automation Frequency Internet X-ray diffraction |
| Content Type | Text |
| Resource Type | Article |
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