Bioinformatics Analysis of Cdc42 Gene from Candida Glabrata
ZHAO Jing
HUANG Huai-qiu
YUAN Li-yan
ZHONG Yi
ZHANG Jing
ZHANG Xiao-hui
Abstract：Objective:To analyze and predict the structure and properties about encoding pro-tein of cell division cycle 42(Cdc42) from Candida glabrata by bioinformatics.Methods:A full-length cDNA sequence encoding Cdc 42 from Candida glabrata was identified by using tools of bioinformatics at webs sites of NCBI , ExPASy, CBS and software Vector NTI suite 8.0.The char-acteristics of the protein were predicted by employing bioinformatics software package supplied by the website of ExPaSy .Results:The full length of Cdc42 is 576 bp, and its ORF encodes 191 ami-no acid.The relationship of phylogenesis between Candida glabrata and other fungus is close .The prediction shows that Cdc 42 had a Cdc42 conserved domain , the molecular weight and theoretical pI of Cg.Cdc42 was 21 420.83 and 6.31 respectively, and the coding protein contains 29.84%ɑ-helix, 28.70%extended strand,41.88% random coil,and one GTP/ATP motif.Cdc42 enco-ding protein is hydrophobic , extra-membrane protein , without signal peptide .Conclusion:The structure and characteristics of the gene and protein of Cg .Cdc42 was predicted .
Keywords：Candida glabrataCell division cycle 42Bioinformatics
Publication Date：2013-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 234-237 )