GCPred: a web tool for guanylyl cyclase functional centre prediction from amino acid sequence
Author(s) -
Nuo Xu,
Dongfang Fu,
Shiang Li,
Yuxuan Wang,
Aloysius Wong
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty067
Subject(s) - cyclic guanosine monophosphate , guanosine , web server , amino acid , guanosine triphosphate , peptide sequence , sequence (biology) , computational biology , gucy2d , biology , biochemistry , enzyme , guanylate cyclase 2c , cyclase , computer science , gtp' , the internet , operating system , nitric oxide , gene , endocrinology
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.
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