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https://rda.sliit.lk/handle/123456789/804| Title: | Syntactic Approach to Predict Membrane Spanning Regions of Transmembrane Proteins |
| Authors: | Pulasinghe, K Rajapakse, J. C |
| Keywords: | Hide Markov Model Transmembrane Protein Syntactic Rule Hide Markov Model Model Syntactic Approach |
| Issue Date: | 30-Mar-2005 |
| Publisher: | Springer, Berlin, Heidelberg |
| Series/Report no.: | Workshops on Applications of Evolutionary Computation;Pages 95-104 |
| Abstract: | This paper exploits “biological grammar” of transmembrane proteins to predict their membrane spanning regions using hidden Markov models and elaborates a set of syntactic rules to model the distinct features of transmembrane proteins. This paves the way to identify the characteristics of membrane proteins analogous to the way that identifies language contents of speech utterances by using hidden Markov models. The proposed method correctly predicts 95.24% of the membrane spanning regions of the known transmembrane proteins and correctly predicts 79.87% of the membrane spanning regions of the unknown transmembrane proteins on a benchmark dataset. |
| URI: | http://localhost:80/handle/123456789/804 |
| ISBN: | 978-3-540-25396-9 |
| Appears in Collections: | Research Papers - SLIIT Staff Publications Research Publications -Dept of Information Technology |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Pulasinghe-Rajapakse2005_Chapter_SyntacticApproachToPredictMemb.pdf | 188.71 kB | Adobe PDF | View/Open |
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