School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong 518055, China.
Bioinformatics. 2017 Nov 1;33(21):3473-3476. doi: 10.1093/bioinformatics/btx429.
As one of the most important tasks in protein sequence analysis, protein remote homology detection is critical for both basic research and practical applications. Here, we present an effective web server for protein remote homology detection called ProtDec-LTR2.0 by combining ProtDec-Learning to Rank (LTR) and pseudo protein representation. Experimental results showed that the detection performance is obviously improved. The web server provides a user-friendly interface to explore the sequence and structure information of candidate proteins and find their conserved domains by launching a multiple sequence alignment tool.
The web server is free and open to all users with no login requirement at http://bioinformatics.hitsz.edu.cn/ProtDec-LTR2.0/.
作为蛋白质序列分析中最重要的任务之一，蛋白质远程同源检测对于基础研究和实际应用都至关重要。在这里，我们通过结合 ProtDec-学习排序（LTR）和伪蛋白质表示，提出了一个名为 ProtDec-LTR2.0 的有效蛋白质远程同源检测的网络服务器。实验结果表明，检测性能得到了明显提高。该网络服务器提供了一个用户友好的界面，通过启动多序列比对工具，探索候选蛋白质的序列和结构信息，并找到它们的保守结构域。
该网络服务器是免费的，向所有用户开放，无需登录，网址为 http://bioinformatics.hitsz.edu.cn/ProtDec-LTR2.0/。
