Literature DB >> 15022640

Proteome-wide classification and identification of mammalian-type GPCRs by binary topology pattern.

Yasuhito Inoue1, Masami Ikeda, Toshio Shimizu.   

Abstract

G protein-coupled receptors (GPCRs), a large eukaryotic protein family, have proved difficult to comprehensively detect and functionally identify by homology searches and domain detection, because they are highly divergent and their sequences share strikingly little similarity. Transmembrane (TM) topology pattern analysis has been used to classify TM proteins, and such patterns are conserved within GPCRs of similar function. Here, we developed a stepwise binary topology pattern (BTP) method for GPCR classification and identification and used it to identify and classify mammalian-type GPCRs in the genomes of 10 different eukaryotic species. A binary topology pattern was obtained for each functional class or group by assigning binary loop threshold lengths of "0" (short loop) or "1" (long loop). The GPCR-classification ability of the BTP method had quite high accuracies for classifying GPCR functions at the class level (Classes A, B, C, Frizzled/Smoothened, Non-GPCR, based on the GPCRDB classification scheme), with many classes being classified with 100% accuracy. Sufficiently high accuracies were also maintained at the functional group level, 0.945 over 15 functional groups. Proteome-wide mammalian-type GPCR searches in 10 eukaryotic genomes (H. sapiens, M. musculus, F. rubripes, C. intestinalis, A. thaliana, D. melanogaster, A. gambiae, C. elegans, P. falciparum, S. cerevisiae) using the BTP method showed much higher classification/identification in non-mammalian genomes than typical BLAST searches, in which a higher number of sequences were classified as Non-GPCR. This stepwise BTP method should prove useful for the identification and functional classification of GPCRs from the genomes of a wide range of species.

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Year:  2004        PMID: 15022640     DOI: 10.1016/j.compbiolchem.2003.11.003

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  12 in total

1.  GPCRpred: an SVM-based method for prediction of families and subfamilies of G-protein coupled receptors.

Authors:  Manoj Bhasin; G P S Raghava
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  ConPred II: a consensus prediction method for obtaining transmembrane topology models with high reliability.

Authors:  Masafumi Arai; Hironori Mitsuke; Masami Ikeda; Jun-Xiong Xia; Takashi Kikuchi; Masanobu Satake; Toshio Shimizu
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  Proteome-wide functional classification and identification of prokaryotic transmembrane proteins by transmembrane topology similarity comparison.

Authors:  Masafumi Arai; Kosuke Okumura; Masanobu Satake; Toshio Shimizu
Journal:  Protein Sci       Date:  2004-08       Impact factor: 6.725

4.  A general model of G protein-coupled receptor sequences and its application to detect remote homologs.

Authors:  Markus Wistrand; Lukas Käll; Erik L L Sonnhammer
Journal:  Protein Sci       Date:  2006-02-01       Impact factor: 6.725

5.  GPCRsort-responding to the next generation sequencing data challenge: prediction of G protein-coupled receptor classes using only structural region lengths.

Authors:  Mehmet Emre Sahin; Tolga Can; Cagdas Devrim Son
Journal:  OMICS       Date:  2014-08-18

6.  A model for the evaluation of domain based classification of GPCR.

Authors:  Tannu Kumari; Bhaskar Pant; Kamalraj Raj Pardasani
Journal:  Bioinformation       Date:  2009-10-11

7.  Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm.

Authors:  Zhanchao Li; Xuan Zhou; Zong Dai; Xiaoyong Zou
Journal:  BMC Bioinformatics       Date:  2010-06-16       Impact factor: 3.169

8.  Whole proteome identification of plant candidate G-protein coupled receptors in Arabidopsis, rice, and poplar: computational prediction and in-vivo protein coupling.

Authors:  Timothy E Gookin; Junhyong Kim; Sarah M Assmann
Journal:  Genome Biol       Date:  2008-07-31       Impact factor: 13.583

9.  Genome-wide detection of serpentine receptor-like proteins in malaria parasites.

Authors:  Luciana Madeira; Pedro A F Galante; Alexandre Budu; Mauro F Azevedo; Bettina Malnic; Célia R S Garcia
Journal:  PLoS One       Date:  2008-03-26       Impact factor: 3.240

10.  HMM-ModE: implementation, benchmarking and validation with HMMER3.

Authors:  Swati Sinha; Andrew Michael Lynn
Journal:  BMC Res Notes       Date:  2014-07-30
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