A New Approach to Find Orthologous Proteins Using Sequence and Protein-Protein Interaction Similarity
- Authors
- 김민경; 설영주; 박현석; 장승환; 신항철; 조광휘
- Issue Date
- 2009
- Publisher
- 한국유전체학회
- Keywords
- interolog; ortholog; protein-protein interaction
- Citation
- Genomics & Informatics, v.7, no.3, pp.141 - 147
- Journal Title
- Genomics & Informatics
- Volume
- 7
- Number
- 3
- Start Page
- 141
- End Page
- 147
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/16119
- ISSN
- 1598-866X
- Abstract
- Developed proteome-scale ortholog and paralog prediction methods are mainly based on sequence similarity. However, it is known that even the closest BLAST hit often does not mean the closest neighbor. For this
reason, we added conserved interaction information to find orthologs. We propose a genome-scale, automated ortholog prediction method, named OrthoInterBlast. The method is based on both sequence and interaction
similarity. When we applied this method to fly and yeast, 17% of the ortholog candidates were different compared with the results of Inparanoid. By adding protein-protein interaction information, proteins that have low sequence similarity still can be selected as orthologs, which can not be easily detected by sequence homology alone.
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Collections - College of Natural Sciences > School of Systems and Biomedical Science > 1. Journal Articles
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