Protein secondary structure prediction using sequence profile and conserved domain profile
- Authors
- Woo, SK; Park, CB; Lee, SW
- Issue Date
- 2005
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- ADVANCES IN INTELLIGENT COMPUTING, PT 2, PROCEEDINGS, v.3645, pp.1 - 10
- Indexed
- SCIE
SCOPUS
- Journal Title
- ADVANCES IN INTELLIGENT COMPUTING, PT 2, PROCEEDINGS
- Volume
- 3645
- Start Page
- 1
- End Page
- 10
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/123268
- ISSN
- 0302-9743
- Abstract
- In this paper, we proposed a novel method for protein secondary structure prediction using sequence profile and conserved domain profile. Sequence profile generated from PSI-BLAST (position specific iterated BLAST) has been widely used in protein secondary structure prediction, because PSI-BLAST shows good performance in finding remote homology. Conserved domains kept functional and structural information of related proteins; therefore we could draw remote homology information in conserved domains using RPS-BLAST (reverse position specific BLAST). We combined sequence profile and conserved domain profile to get more remote homology information, and propose a method which used the combined profile to predict the protein secondary structures. In order to verify the effectiveness of our proposed method, we implemented a protein secondary structure prediction system. Overall prediction accuracy reached 75.9% on the RS126 data set. The improvement by incorporating conserved domain information exceeded 3%, and this result showed that our proposed method could improve significantly the accuracy of protein secondary structure prediction.
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Collections - Graduate School > Department of Artificial Intelligence > 1. Journal Articles
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