Enhancement of solubility of recombinant alcohol dehydrogenase from Rhodococcus ruber using predictive tool

Area of Science:

• Biotechnology
• Protein Engineering
• Enzymology

Background:

• Protein solubility is critical for recombinant protein production in biotechnology.
• Alcohol dehydrogenase (ADH-A) from Rhodococcus ruber (RrADH) has significant potential for industrial biotransformation.
• Improving RrADH solubility offers substantial commercial advantages.

Purpose of the Study:

• To enhance the solubility of RrADH using in silico predictive tools.
• To identify specific mutations that increase RrADH solubility and improve its performance.
• To validate the effectiveness of computational approaches in protein engineering.

Main Methods:

• Utilized the online predictive tool Aggrescan 3D 2.0 for solubility analysis.
• Introduced selected mutations into the RrADH amino acid sequence via site-directed PCR.
• Assessed the solubility and basic kinetics of the engineered RrADH variants.

Main Results:

• Engineered variants RrADHmut1 and RrADHmut2 showed significant solubility improvements.
• RrADHmut1 exhibited a 17% increase in solubility, while RrADHmut2 showed a 98% increase.
• The mutations positively impacted the enzyme's basic kinetics, enhancing overall process performance.

Conclusions:

• In silico tools like Aggrescan 3D 2.0 are effective for guiding protein engineering strategies.
• Site-directed mutagenesis can successfully enhance the solubility and functionality of aggregation-prone proteins like RrADH.
• Optimized RrADH variants hold promise for cost-effective industrial biotransformation applications.