標題: A site-based method for prediction of protein orthologous relations
作者: Chiu, HC
Hu, YJ
資訊工程學系
Department of Computer Science
公開日期: 2004
摘要: Making accurate functional predictions for genes plays an important role in the era of proteomics. The most reliable functional information is extracted from orthologs in other species when annotating an unknown gene. Here a site-based approach is proposed to predict orthologous relations. The method first identifies important sites that confer specificity of paralogs in the multiple sequence alignment of homologous proteins. It then predicts orthologous relations for unannotated proteins based on the important sites found. When applied to the bacterial transcription factor PurR/LacI family and the protein kinase AGC family, our method was able to identify, with few false positives, the important sites that agree with those obtained from biological experiments. We also tested it on the AGC family, the a proteasome family, the glycoprotein hormone family and the growth hormone family to demonstrate its ability to predict orthologs. Compared with other prediction methods based on phylogenetic analysis or hidden Markov models, our method not only has competitive predictive accuracy, but also provides valuable biological information of important sites associated with orthologs which can be further studied in biological experiments.
URI: http://hdl.handle.net/11536/18140
ISBN: 1-932415-43-2
期刊: METMBS '04: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICS AND ENGINEERING TECHNIQUES IN MEDICINE AND BIOLOGICAL SCIENCES
起始頁: 359
結束頁: 362
Appears in Collections:Conferences Paper