Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12540/57
Title: GCPred: A web tool for guanylyl cyclase functional centre prediction from amino acid sequence
Authors: Xu, Nuo 
Fu, Dongfang 
Li, Shiang 
Wang, Yuxuan 
Wong, Aloysius 
Issue Date: 2018
Publisher: Oxford University Press
Source: Xu, N., Fu, D., Li, S., Wang, Y., & Wong, A. (2018). GCPred: A web tool for guanylyl cyclase functional centre prediction from amino acid sequence. Bioinformatics, 34(12), 2134-2135.
Journal: Bioinformatics 
Abstract: 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.
URI: https://hdl.handle.net/20.500.12540/57
DOI: 10.1093/bioinformatics/bty067
Appears in Collections:Scholarly Publications

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