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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhaoyun Ma Fa Zhang Lin Xu Shengzhong Feng Zhiyong Liu |
| Copyright Year | 2007 |
| Description | Author affiliation: Key Lab. of Comput. Syst. & Archit., Chinese Acad. of Sci., Beijing (Zhaoyun Ma; Fa Zhang; Lin Xu; Shengzhong Feng; Zhiyong Liu) |
| Abstract | Homology modeling, as a successful protein structure prediction method, has two major deficiencies, i.e., the lack of the templates (known structures), and the accuracy of alignment between the query (unknown structure) and its templates. To solve these problems, we have constructed a conservative domain clustering template database, and proposed a profile-based alignment algorithm based on the profile extracted from each domain clustering in the database. The extracted profile can well represent the information of the sequence and structure as well Compared with other alignment methods, such as T-coffee and Smith-Waterman, our results show that with this method it's possible to obtain a higher hit rate for template searching and a more accurate and reliable query-template alignment. Therefore, the quality of protein structure prediction can be improved. |
| Starting Page | 5 |
| Ending Page | 8 |
| File Size | 352871 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424411203 |
| DOI | 10.1109/ICBBE.2007.5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Proteins Sequences Databases Laboratories Spine Clustering algorithms Prediction methods Computer architecture Predictive models Data mining |
| Content Type | Text |
| Resource Type | Article |
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