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GPCR-CA specifications


Unique identifier OMICS_14980
Alternative name GPCR-cellular automaton
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability No
Maintained No


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Publication for GPCR-cellular automaton

GPCR-CA citations


Two distinct sensing pathways allow recognition of Klebsiella pneumoniae by Dictyostelium amoebae

PMCID: 4303882
PMID: 24128258
DOI: 10.1111/cmi.12226

[…] re scanned using InterPro and PROSITE (Hunter et al., ; Sigrist et al., ), and prediction of primary sequences as GPCR proteins done via GPCR-pred (Bhasin and Raghava, ), PCA-GPCR (Peng et al., ) and GPCR-CA (Xiao et al., ) webservers. For phylogenetic analyses, protein sequences were aligned with CLUSTALX 2.0 program (Larkin et al., ). Maximum likelihood trees were computed by using MEGA 5.0 (Tam […]


A Multiplexed Fluorescent Calcium and NFAT Reporter Gene Assay to Identify GPCR Agonists

PMCID: 3854663
PMID: 24396729
DOI: 10.2174/2213988501307010001

[…] acellular calcium response detected by the calcium indicator Fluo-4 and the activity of beta-lactamase reporter in response to GPCR agonists or compounds. This multiplex assay enables measurements of GPCR-Ca signaling pathway at two different levels, which has not only saved time and cost for HTS but will also help to eliminate false positive hits. […]


An improved classification of G protein coupled receptors using sequence derived features

BMC Bioinformatics
PMCID: 3247138
PMID: 20696050
DOI: 10.1186/1471-2105-11-420

[…] f more than 40% sequence identity). The overall accuracies thus achieved at the first level and second level are 95.21%, 92.6%, respectively, which are 3.57% and 9.04% higher than those of the method GPCR-CA.We conclude that the high prediction accuracy of the proposed method is attributed to the comprehensive set of features that we constructed from five groups of descriptors. It is anticipated t […]


Classification of G protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm

BMC Bioinformatics
PMCID: 2905366
PMID: 20550715
DOI: 10.1186/1471-2105-11-325

[…] To facilitate a comparison with GPCR-CA method developed by Xiao [], we perform jackknife cross-validation test based on the current predictor. GPCR-CA is a two-layer classifier that is used to classify at the levels of superfamily […]


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GPCR-CA institution(s)
Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen, China; Gordon Life Science Institute, San Diego, CA, USA

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