PseKRAAC:一个用于生成伪K元组约简氨基酸组成的灵活网络服务器。

PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino acids composition.

作者信息

Zuo Yongchun, Li Yuan, Chen Yingli, Li Guangpeng, Yan Zhenhe, Yang Lei

机构信息

The Key Laboratory of Mammalian Reproductive Biology and Biotechnology of the Ministry of Education, College of Life Sciences, Inner Mongolia University, Hohhot 010021, China.

Department of Mechanical Engineering, Columbia University, New York, NY 10027, USA.

出版信息

Bioinformatics. 2017 Jan 1;33(1):122-124. doi: 10.1093/bioinformatics/btw564. Epub 2016 Aug 26.

Abstract

UNLABELLED

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.

AVAILABILITY AND IMPLEMENTATION

Freely available on the web at http://bigdata.imu.edu.cn/psekraac CONTACTS: yczuo@imu.edu.cn or imu.hema@foxmail.com or yanglei_hmu@163.comSupplementary information: Supplementary data are available at Bioinformatics online.

摘要

未标记

简化后的氨基酸在简化蛋白质复杂性和识别功能保守区域方面具有强大能力。然而,处理不同的蛋白质问题可能需要不同类型的聚类方法。受伪氨基酸组成算法成功的鼓舞,我们开发了一个免费的网络服务器,名为PseKRAAC(伪K元组简化氨基酸组成)。通过实施简化的氨基酸字母表,蛋白质复杂性可显著简化,这导致过拟合的可能性降低、计算障碍减少以及信息冗余减少。PseKRAAC通过纳入描述蛋白质组成的三个关键参数,为蛋白质研究提供了更多功能。用户可以通过选择各种简化的氨基酸字母表和其他特征参数,轻松生成许多根据其需求定制的不同模式的PseKRAAC。预计PseKRAAC网络服务器将成为计算蛋白质组学和蛋白质序列分析中非常有用的工具。

可用性与实现

可在网站http://bigdata.imu.edu.cn/psekraac上免费获取

联系方式

yczuo@imu.edu.cnimu.hema@foxmail.comyanglei_hmu@163.com

补充信息

补充数据可在《生物信息学》在线获取。

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