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|Alternative name||GPCR-cellular automaton|
|Interface||Web user interface|
|Restrictions to use||None|
Publication for GPCR-cellular automaton
Two distinct sensing pathways allow recognition of Klebsiella pneumoniae by Dictyostelium amoebae
[…] 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
[…] 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
[…] 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
[…] 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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