SOLUBILITY PREDICTION AND VECTOR DESIGN FOR THE EXPRESSION OF PROTEIN KOJA FROM THE BIOSYNTHETIC PATHWAY OF KOJIC ACID
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Abstract
Background: Kojic acid is a skin-whittening agent widely used in cosmetics. It is a secondary metabolite produced by a few Aspergillus species. Recent studies have identified that gene kojA played an important role in the biosynthetic pathway of kojic acid in Aspergillus oryzae. Objectives: This study aims to predict the solubility of protein KojA, and design the recombinant plasmid thereof to express KojA as soluble protein in Escherichia coli. Methods: A homology model of KojA was built using SWISS-MODEL server. Three tools including Protein-Sol, SOLart và SoDoPE were applied to predict the solubility of KojA and its fusion with tags. Results: All three tools predicted a poor solubility of KojA; the solubility can be improved with tags MBP and SUMO as suggested by SoDoPE. Conclusions: The study has predicted the solubility of protein KojA and proposed a recombinant plasmid in which kojA is fused with SUMO and condons optimized for expression in E. coli.
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Keywords
acid kojic, gen kojA, khả năng hoà tan
References
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