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인공지능대학
컴퓨터공학과
Journal papers
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PASL: Prediction of the alpha-helix transmembrane by pruning the subcellular location
Title
PASL: Prediction of the alpha-helix transmembrane by pruning the subcellular location
Authors
Seol Y.J.
;
Park H.S.
;
Yoo S.-J.
Ewha Authors
박현석
SCOPUS Author ID
박현석
Issue Date
2004
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN
0302-9743
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 3314, pp. 607 - 612
Indexed
SCOPUS
Document Type
Article
Abstract
We have developed a software tool, called PASL, which predicts the transmembrane region and its topology by pruning the subcellular location. The main virtues of PASL are that it discriminates the integral proteins of the plasma membrane from the intracellular membranes, and it eliminates the possibility of misrecognition of the signal peptide as a transmembrane region. The transmembrane region prediction algorithm, which is based on the Hidden Markov Model, and the ER signal peptide detection architecture, which is based on neural networks, have been used for the actual implementation of a prototype. This paper mainly describes the prototype and how it works. © Springer-Verlag 2004.
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