@inbook{f1b8f3012dac46ce81a8772657c3f2f2,
title = "Homology modeling of GPCRs",
abstract = "Over 1,000 sequences likely to encode G protein-coupled receptors (GPCRs) are currently available in publicly accessible and proprietary databases and this number may grow with the refinement of a number of different genomes. However, despite recent efforts in the crystallization of these proteins, homology modeling approaches are becoming widely used as a method for obtaining quantitative and qualitative information for structure-based drug design as well as the interpretation of experimental data.",
keywords = "Amino Acid Sequence, Computational Biology, Databases, Protein, Humans, Models, Molecular, Molecular Sequence Data, Receptors, Adrenergic, beta-2, Receptors, G-Protein-Coupled, Sequence Alignment, Sequence Analysis, Protein, Sequence Homology, Amino Acid, Journal Article",
author = "John Simms and Hall, \{Nathan E\} and Lam, \{Polo H C\} and Miller, \{Laurence J\} and Arthur Christopoulos and Ruben Abagyan and Sexton, \{Patrick M\}",
year = "2009",
doi = "10.1007/978-1-60327-317-6\_7",
language = "English",
isbn = "9781603273169",
series = "Methods in Molecular Biology",
publisher = "Humana Press",
pages = "97--113",
editor = "Leifert, \{Wayne R.\}",
booktitle = "G Protein-Coupled Receptors in Drug Discovery",
address = "United States",
}