PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino acids composition
Author(s) -
Yongchun Zuo,
Yuan Li,
Chen Ying-li,
Guangpeng Li,
Zhen-He Yan,
Lei Yang
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw564
Subject(s) - computer science , pseudo amino acid composition , amino acid , web server , composition (language) , overfitting , tuple , protein sequencing , database , biology , peptide sequence , machine learning , mathematics , world wide web , the internet , biochemistry , linguistics , philosophy , discrete mathematics , dipeptide , artificial neural network , gene
The reduced amino acids perform powerful ability for both simplifying protein complexity and identifying functional conserved regions. However, dealing with different protein problems may need different kinds of cluster methods. Encouraged by the success of pseudo-amino acid composition algorithm, we developed a freely available web server, called PseKRAAC (the pseudo K-tuple reduced amino acids composition). By implementing reduced amino acid alphabets, the protein complexity can be significantly simplified, which leads to decrease chance of overfitting, lower computational handicap and reduce information redundancy. PseKRAAC delivers more capability for protein research by incorporating three crucial parameters that describes protein composition. Users can easily generate many different modes of PseKRAAC tailored to their needs by selecting various reduced amino acids alphabets and other characteristic parameters. It is anticipated that the PseKRAAC web server will become a very useful tool in computational proteomics and protein sequence analysis.
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