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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mukai, Y. Sasaki, T. Oura, O. Ikeda, M. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electronics and Bioinformatics, School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Japan (Mukai, Y.; Sasaki, T.) || Consolidated Research Institute for Advanced Science and Medical Care, Waseda University, 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo 162-0041, Japan (Ikeda, M.) || Department of Information and Computer Science, School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Japan (Oura, O.) |
| Abstract | Attachment of glycosylphosphatidylinositol (GPI) is one of the most important posttranslational modifications, playing an important role in vital eukaryote activities. GPI-anchored proteins (GPI-APs) are characterized by a pro-peptide of hydrophobic residues and small amino acid residues near the GPI-anchoring site. Here, we describe a new method for identifying GPI-APs based on hydropathy profiles and a position-specific scoring matrix (PSSM). First, the sequences of mammalian GPI-APs from the UniProt Knowledgebase/Swiss-Prot protein sequence database release 54.0 were scanned for their average hydropathy with several different window sizes. Hydrophobic regions were observed not only in the signal-peptide but also in the pro-peptide at the C-terminus. Non-GPI-anchored proteins (non-GPI-APs) with similar hydropathy profiles to those of the GPI-APs were used as the negative control. The sequences were aligned according to the residue sizes in the C-terminal region, and the position-specific amino acid propensities were analyzed according to their alignment positions in both the GPI-APs and the negative controls. The PSSM was devised using each amino acid propensity and a matching score was estimated for each dataset. The accuracy achieved in discriminating between GPI-APs and the negative controls was evaluated, and the GPI-APs were detected with 96.5% sensitivity and 97.3% specificity on a self-consistency test and with 85.0% sensitivity and 92.7% specificity on a 4-fold cross-validation test. |
| Starting Page | 106 |
| Ending Page | 110 |
| File Size | 372855 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424490073 |
| e-ISBN | 9781424490097 |
| DOI | 10.1109/TISC.2010.5714617 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-17 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Proteins Pro-peptide Sensitivity Accuracy GPI-anchored protein (GPI-AP) Signal-peptide Genomics Omega-site Amino acids Indexes Position-specific scoring matrix (PSSM) Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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