Application of bioinformatics analysis of signal peptide in the identification of Neurospora crassa phyA gene / 南方医科大学学报
Journal of Southern Medical University
;
(12): 1098-1101, 2009.
Article
in Chinese
| WPRIM
| ID: wpr-282611
ABSTRACT
<p><b>OBJECTIVE</b>To identify the function of the gene encoding Neurospora crassa EAA33149.1 protein which has 46.85% similarity with Aspergillus niger phA gene.</p><p><b>METHODS</b>The bioinformatics analysis was conducted using the prediction algorithms SignalP v3.0, arginine and lysine propeptide cleavage sites in eukaryotic protein sequence prediction algorithms ProP 1.0 server, transmembrane domain prediction algorithms Tmpred and TMHMM v2.0, potential GP I-anchor sites prediction algorithm big-P I Predictor and the subcellular protein location prediction algorithms TargetP v1.01. According to the analysis results, the gene was cloned into Saccharomyces cerevisiae.</p><p><b>RESULTS</b>The signal peptide, the cleavage site and the secretion pathway were determined, and the expressed recombinant protein with 54,000 displayed phytase activity.</p><p><b>CONCLUSION</b>The gene has been identified to encode N. crassa phyA.</p>
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Saccharomyces cerevisiae
/
Algorithms
/
Recombinant Proteins
/
Fungal Proteins
/
Molecular Sequence Data
/
Amino Acid Sequence
/
Computational Biology
/
Phytochrome A
/
Genetics
/
Metabolism
Type of study:
Diagnostic study
Language:
Chinese
Journal:
Journal of Southern Medical University
Year:
2009
Type:
Article
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