MoRFchibi SYSTEM: software tools for the identification of MoRFs in protein sequences.
MoRFchibi SYSTEM: software tools for the identification of MoRFs in protein sequences.
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DOI：
10.1093/nar/gkw409
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发表时间：
2016-07-08
影响因子：
14.9
通讯作者：
Gsponer J
中科院分区：
文献类型：
--
作者：
Malhis N;Jacobson M;Gsponer J
分子识别特征，MoRFs，是较长的无序蛋白质区域内的短片段，其在称为无序到有序转变的过程中结合到球状蛋白质结构域。已经发现MoRF在细胞中的信号传导和调节过程中起重要作用。高置信度的计算识别的MoRF仍然是一个重要的挑战。在这项工作中，我们介绍了MoRFchibi系统，它包含三个MoRF预测器：MoRFCHiBi，一个基本的预测器，最适合作为其他应用程序中的组件，MoRFCHiBi_Light，理想的高吞吐量预测和MoRFCHiBi_Web，比其他两个慢，但最适合高精度预测。结果表明，MoRFchibi系统提供了其他预测器的两倍以上的精度。MoRFchibi系统有三种不同的形式：HTML Web服务器，RESTful Web服务器和可下载软件：http://www.chibi.ubc.ca/faculty/joerg-gsponer/gsponer-lab/software/morf_chibi/
Molecular recognition features, MoRFs, are short segments within longer disordered protein regions that bind to globular protein domains in a process known as disorder-to-order transition. MoRFs have been found to play a significant role in signaling and regulatory processes in cells. High-confidence computational identification of MoRFs remains an important challenge. In this work, we introduce MoRFchibi SYSTEM that contains three MoRF predictors: MoRFCHiBi, a basic predictor best suited as a component in other applications, MoRFCHiBi_Light, ideal for high-throughput predictions and MoRFCHiBi_Web, slower than the other two but best for high accuracy predictions. Results show that MoRFchibi SYSTEM provides more than double the precision of other predictors. MoRFchibi SYSTEM is available in three different forms: as HTML web server, RESTful web server and downloadable software at: http://www.chibi.ubc.ca/faculty/joerg-gsponer/gsponer-lab/software/morf_chibi/