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Author Zhao, Miaomiao ♦ Zhang, Zhao ♦ Mai, Guoqin ♦ Luo, Youxi ♦ Zhou, Fengfeng
Source SpringerLink
Content type Text
Publisher International Association of Scientists in the Interdisciplinary Areas
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Life sciences; biology
Subject Keyword jEcho ♦ Evolutionary algorithm ♦ Posttranslational modification (PTM) ♦ Motif ♦ Phosphorylation ♦ Computer Application in Life Sciences ♦ Computational Biology/Bioinformatics ♦ Statistics for Life Sciences, Medicine, Health Sciences ♦ Theoretical and Computational Chemistry ♦ Theoretical, Mathematical and Computational Physics ♦ Computational Science and Engineering
Abstract Protein’s posttranslational modification (PTM) represents a major dynamic regulation of protein functions after the translation of polypeptide chains from mRNA molecule. Compared with the costly and labor-intensive wet laboratory characterization of PTMs, the computer-based detection of PTM residues has been a major complementary technique in recent years. Previous studies demonstrated that the PTM-flanking positions convey different contributions to the computational detection of PTM residue, but did not directly translate this observation into the in silico PTM prediction. We propose a weight vector to represent the variant contributions of the PTM-flanking positions and use an evolutionary algorithm to optimize the vector. Even a simple nearest neighbor algorithm with the incorporated optimal weight vector outperforms the currently available algorithms. The algorithm is implemented as an easy-to-use computer program, jEcho version 1.0. The implementation language, Java, makes jEcho platform-independent and visually interactive. The predicted results may be directly exported as publication-quality images or text files. jEcho may be downloaded from http://www.healthinformaticslab.org/supp/ .
ISSN 19132751
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-08-06
Publisher Place Quebec
e-ISSN 18671462
Journal Interdisciplinary Sciences: Computational Life Sciences
Volume Number 7
Issue Number 2
Page Count 6
Starting Page 194
Ending Page 199


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Source: SpringerLink