Department of Computer Science.
Department of Psychology.
Bioinformatics. 2018 Jun 15;34(12):2134-2135. doi: 10.1093/bioinformatics/bty067.
GCPred is a webserver for the prediction of guanylyl cyclase (GC) functional centres from amino acid sequence. GCs are enzymes that generate the signalling molecule cyclic guanosine 3', 5'-monophosphate from guanosine-5'-triphosphate. A novel class of GC centres (GCCs) has been identified in complex plant proteins. Using currently available experimental data, GCPred is created to automate and facilitate the identification of similar GCCs. The server features GCC values that consider in its calculation, the physicochemical properties of amino acids constituting the GCC and the conserved amino acids within the centre. From user input amino acid sequence, the server returns a table of GCC values and graphs depicting deviations from mean values. The utility of this server is demonstrated using plant proteins and the human interleukin-1 receptor-associated kinase family of proteins as example.
The GCPred server is available at http://gcpred.com.
Supplementary data are available at Bioinformatics online.
GCPred 是一个从氨基酸序列预测鸟苷酸环化酶 (GC) 功能中心的网络服务器。GC 是一种酶,能够将鸟苷-5'-三磷酸转化为信号分子环鸟苷酸 3',5'-单磷酸。在复杂的植物蛋白中发现了一类新型的 GC 中心 (GCC)。利用现有的实验数据,创建了 GCPred 来实现 GCC 中心的自动化和便利识别。该服务器的 GCC 值考虑了构成 GCC 的氨基酸的理化性质以及中心内保守的氨基酸。从用户输入的氨基酸序列中,服务器返回一个 GCC 值表和描绘平均值偏差的图形。该服务器的实用性通过植物蛋白和人类白细胞介素-1 受体相关激酶家族蛋白的示例进行了演示。
GCPred 服务器可在 http://gcpred.com 上使用。
补充数据可在 Bioinformatics 在线获取。