標題: Prediction of orthologous relationship by functionally important sites
作者: Chiu, HC
Chang, CA
Hu, YJ
生物科技學系
資訊工程學系
Department of Biological Science and Technology
Department of Computer Science
關鍵字: orthologs;paralogs;protein functions;important sites
公開日期: 1-六月-2005
摘要: Making accurate functional predictions plays an important role in the era of proteomics. Reliable functional information can be extracted from orthologs in other species when annotating an unknown gene. Here a site-based approach called PORFIS is proposed to predict orthologous relationship. When applied to the bacterial. transcription factor PurR/Lacl family and the protein kinase AGC family, our method was able to identify, with few false positives, the important sites that agree with those verified by biological experiments. We also tested it on the alpha-proteasome family, the glycoprotein hormone family and the growth hormone family to demonstrate its ability to predict orthologous relationship. Compared with other prediction methods based on phylogenetic analysis or hidden Markov models, PORFIS not only has competitive prediction accuracy, but also provides valuable biological information of functionally important sites associated with orthologs which can be further studied in biological experiments. (c) 2005 Elsevier Ireland Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.cmpb.2005.03.002
http://hdl.handle.net/11536/13594
ISSN: 0169-2607
DOI: 10.1016/j.cmpb.2005.03.002
期刊: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume: 78
Issue: 3
起始頁: 209
結束頁: 222
顯示於類別:期刊論文


文件中的檔案:

  1. 000229655600003.pdf