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Recent Advances in Predicting G-Protein Coupled Receptor Classification

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G protein-coupled receptors (GPCRs) are integral membrane proteins with seven trans-membrane helices. Belonging to the largest family of cell surface receptors, GPCRs are among the most frequent targets of therapeutic drugs. Unfortunately, since they are difficult to crystallize and most of them will not dissolve in normal solvents, so far the number of GPCRs with three-dimensional structure determined is very limited.

This situation has challenged us to develop automated methods by which one can predict the family and sub-family classes of GPCRs based on the information of their primary sequences alone, so as to facilitate classifying drugs, a technique called “evolutionary pharmacology” often used in pharmaceutical industries for drug development. In the past eight years, various computational methods were proposed. This review is devoted to summarize their development. Meanwhile, the future challenge in this area has also been briefly addressed.
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Keywords: Cellular automata; G-protein coupled receptor; enzyme-substrate; evolutionary pharmacology; homology bias; protein sequence image expression; pseudo amino acid composition; redundancy; sequence-derived features; transmembrane

Document Type: Research Article

Affiliations: Computer Department, Jing- De-Zhen Ceramic Institute, Jing-De-Zhen 333403, China.

Publication date: June 1, 2012

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  • Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics. Each issue contains a series of timely, in-depth reviews written by leaders in the field, covering a wide range of the integration of biology with computer and information science.

    The journal focuses on reviews on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Developments in these fields have direct implications on key issues related to health care, medicine, genetic disorders, development of agricultural products, renewable energy, environmental protection, etc.

    Current Bioinformatics is an essential journal for all academic and industrial researchers who want expert knowledge on all major advances in bioinformatics.
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