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Identification Methods of G Protein-Coupled Receptors

Identification Methods of G Protein-Coupled Receptors

Meriem Zekri, Karima Alem, Labiba Souici-Meslati
Copyright: © 2011 |Volume: 2 |Issue: 4 |Pages: 18
ISSN: 1947-9115|EISSN: 1947-9123|EISBN13: 9781613508183|DOI: 10.4018/jkdb.2011100103
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MLA

Zekri, Meriem, et al. "Identification Methods of G Protein-Coupled Receptors." IJKDB vol.2, no.4 2011: pp.35-52. http://doi.org/10.4018/jkdb.2011100103

APA

Zekri, M., Alem, K., & Souici-Meslati, L. (2011). Identification Methods of G Protein-Coupled Receptors. International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 2(4), 35-52. http://doi.org/10.4018/jkdb.2011100103

Chicago

Zekri, Meriem, Karima Alem, and Labiba Souici-Meslati. "Identification Methods of G Protein-Coupled Receptors," International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 2, no.4: 35-52. http://doi.org/10.4018/jkdb.2011100103

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Abstract

The G protein-coupled receptors (GPCRs) include one of the largest and most important families of multifunctional proteins known to molecular biology. They play a key role in cell signaling networks that regulate many physiological processes, such as vision, smell, taste, neurotransmission, secretion, immune responses, metabolism, and cell growth. These proteins are thus very important for understanding human physiology and they are involved in several diseases. Therefore, many efforts in pharmaceutical research are to understand their structures and functions, which is not an easy task, because although thousands GPCR sequences are known, many of them remain orphans. To remedy this, many methods have been developed using methods such as statistics, machine learning algorithms, and bio-inspired approaches. In this article, the authors review the approaches used to develop algorithms for classification GPCRs by trying to highlight the strengths and weaknesses of these different approaches and providing a comparison of their performances.

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