Yasuhito Inoue

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Genome-wide sequence analysis in the invertebrate chordate, Ciona intestinalis, has provided a comprehensive picture of immune-related genes in an organism that occupies a key phylogenetic position in vertebrate evolution. The pivotal genes for adaptive immunity, such as the major histocompatibility complex (MHC) class I and II genes, T-cell receptors, or(More)
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(More)
The group of 2502 transmembrane (TM) protein sequences with seven TM segments (7-tms) registered in SWISS-PROT 46.0 contains 2200 G-protein-coupled receptors (GPCRs), indicating that GPCR candidates can be detected with a reliability of 87.9% in the eukaryotic genomes merely by correctly predicting the number of TM segments as 7-tms. The predictive(More)
G protein-coupled receptors (GPCRs) play extremely important functions in our body which are mainly to transduce chemical signals across cell membranes, therefore GPCRs are one of the target proteins in the biomedical field. GPCRs are found in large numbers in most eukaryotic genomes, although the only completely known three-dimensional structure in these(More)
SWISS-PROT release 42 [1] contains a total of 2,028 transmembrane (TM) protein sequences with seven TM helices (7-tms), out of which 1,762 sequences are G-protein-coupled receptors (GPCRs). This means that a TM protein predicted correctly as 7-tms should be a GPCR with a reliability of 87% even without using any other information. Then, the questions are(More)
It has been revealed that TM protein functions correspond well to the TM topologies [the number of TM segments (tms), the loop length and the N-terminus location] [4, 5] and long loop regions contain functional domains. Recently, our group proposed a novel approach for classifying and identifying the functional classification and identification of TM(More)
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