GCPred

GCPred is a webserver for the prediction of adenylyl cyclase functional centers (GCCs) from amino acid sequence. GCC is a novel class of functional centers typically consisting of short 14 amino acids and is found in complex multi-domain proteins. They are different from canonical GC domains hence GCPred is not valid for the prediction of such domains as well as transmembrane regions.

Instructions:
The software takes a single or multiple amino acid sequence and returns predicted GCCs each accompanied by GCC values 0-1, where 1 is closest to the mean of experimentally validated GCCs.

Please enter single letter amino acid codes in FASTA format and select if co-factor binding (Mg²⁺/Mn²⁺) is required. The amino acid implicated in co-factor binding is found at 0-3 positions downstream of the GCC.

Requirement for Mg²⁺/Mn²⁺ co-factor No Yes

For example


If you find GCPred useful for your work, please cite:
Xu N, Fu D, Li S, Wang Y & Wong A (2018). Bioinformatics, DOI: 10.1093/bioinformatics/bty067

GCPred was built based on previous work published in:
Wong A, Tian X, Gehring C & Marondedze C (2018). Comput Struct Biotechnol J, 16 (2018), pp. 70-76
Wheeler J, Wong A, Marondedze C, Arnoud G, Kwezi L et al. (2017). Plant J 91(4), 590-600
Wong A, Gehring C & Irving HR (2015). Front Bioeng Biotechnol 82, 1-8
Wong A & Gehring C (2013). Cell Commun Signal, 11(1), 48
Wong A & Gehring C (2013). Methods Mol Biol, 1016, 195-205, Humana Press
Ludidi N & Gehring C (2003). J Biol Chem 278(8), 6490-6494

This tool is still under development and the GCC values will be revised as new experimental data becomes available. Additional features and improvements are forthcoming.

We also provide a trial service for the prediction of adenylyl cyclase (AC) functional centers. Please click here to access the ACPred webtool.

Please contact us at alwong@kean.edu if you have any questions or comments.