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A Kinetic Fluorescence-based Ca2+ Mobilization Assay to Identify G Protein-coupled Receptor Agonists, Antagonists, and Allosteric Modulators
Published on: February 20, 2018
GPCR-CA: A cellular automaton image approach for predicting G-protein-coupled receptor functional classes
Xuan Xiao1, Pu Wang, Kuo-Chen Chou
1Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen 33300, China. xiaoxuan0326@yahoo.com.cn
Journal of Computational Chemistry
|November 28, 2008
Summary
GPCR-CA is a new web server that accurately predicts G-protein-coupled receptors (GPCRs) and their functional classes using cellular automaton images. This tool aids drug development by identifying potential therapeutic targets from protein sequences.
Area of Science:
- Bioinformatics
- Computational Biology
- Pharmacology
Background:
- G-protein-coupled receptors (GPCRs) are crucial drug targets.
- Identifying GPCRs and their classes is vital for drug development and evolutionary pharmacology.
- Existing methods may lack efficiency or accuracy in GPCR identification.
Purpose of the Study:
- To develop a computational tool, GPCR-CA, for predicting GPCRs and their functional classes from protein sequences.
- To provide a user-friendly web server for rapid GPCR analysis.
- To enhance drug discovery efforts through accurate GPCR classification.
Main Methods:
- Utilized Cellular Automaton (CA) images to represent protein sequences and reveal hidden patterns.
- Employed gray-level co-occurrence matrix factors and pseudo amino acid composition for feature extraction.
- Developed a two-layer prediction engine: first for GPCR/non-GPCR identification, second for functional class determination.
Main Results:
- Achieved over 91% accuracy in the first layer (GPCR identification).
- Reached over 83% accuracy in the second layer (functional class prediction).
- Validated performance using rigorous jackknife cross-validation on a stringent benchmark dataset.
Conclusions:
- GPCR-CA is a highly accurate and efficient web server for GPCR prediction and classification.
- The tool aids researchers in identifying potential drug targets and understanding GPCR evolution.
- Freely accessible at http://218.65.61.89:8080/bioinfo/GPCR-CA for prompt analysis.
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