Yan Renxiang, Wang Xiaofeng, Huang Lanqing, Lin Jun, Cai Weiwen, Zhang Ziding
Institute of Applied Genomics, School of Biological Sciences and Engineering, Fuzhou University, Fuzhou 350002, China.
Mol Biosyst. 2014 Oct;10(10):2495-504. doi: 10.1039/c4mb00272e.
G protein coupled receptors (GPCRs), also known as seven-transmembrane domain receptors, pass through the cellular membrane seven times and play diverse biological roles in the cells such as signaling, transporting of molecules and cell-cell communication. In this work, we develop a web server, namely the GPCRserver, which is capable of identifying GPCRs from genomic sequences, and locating their transmembrane regions. The GPCRserver contains three modules: (1) the Trans-GPCR for the transmembrane region prediction by using sequence evolutionary profiles with the assistance of neural network training, (2) the SSEA-GPCR for identifying GPCRs from genomic data by using secondary structure element alignment, and (3) the PPA-GPCR for identifying GPCRs by using profile-to-profile alignment. Our predictor was strictly benchmarked and showed its favorable performance in the real application. The web server and stand-alone programs are publicly available at .
G蛋白偶联受体（GPCRs），也被称为七跨膜结构域受体，穿过细胞膜七次，并在细胞中发挥多种生物学作用，如信号传导、分子运输和细胞间通讯。在这项工作中，我们开发了一个网络服务器，即GPCRserver，它能够从基因组序列中识别GPCRs，并定位它们的跨膜区域。GPCRserver包含三个模块：（1）Trans-GPCR，用于通过在神经网络训练的辅助下使用序列进化谱来预测跨膜区域；（2）SSEA-GPCR，用于通过使用二级结构元件比对从基因组数据中识别GPCRs；（3）PPA-GPCR，用于通过使用profile-to-profile比对来识别GPCRs。我们的预测器经过了严格的基准测试，并在实际应用中表现出良好的性能。该网络服务器和独立程序可在 公开获取。
