Glucoamylases are highly demanded by the industry for starch saccharification, which necessitates an increase in enzyme activity. To improve the activity of Aspergillus awamori VKPM F-1262 glucoamylase N181Q (AGAM), amino acid substitutions were made in the region of substrate binding. In the case of the variant D237G, there was a 1.3–1.4-fold increase in activity towards soluble starch for the individual enzyme and crude enzyme solution after cultivation in flasks. For the variants G57A and C319T, there was also a 1.1–1.4-fold increase in enzyme activity for the crude flask solution, while the increase in individual enzyme activity was minor. AGAM showed an increase in apparent molecular weight consistent with dimerization in the presence of soluble starch. A high T optimum of 70 °C was observed for AGAM and the variants in the hydrolysis of soluble starch. In further protein engineering, a high T optimum for hydrolysis, which may coincide with dimerization, may be considered as a hypothesis for the selection of thermostable glucoamylases, while an area of binding of oligo- and polysaccharides may be a site for mutagenesis.
The rising demand for enzymes with improved properties has driven continuous developments in enzyme technology, including enzymatic formulation. Enzyme formulation primarily aims to minimize losses in enzymatic activity during transport, storage and use. One strategy to mitigate enzyme inactivation is to include stabil...
G. Ribeiro, P. Fernandes, Floriatan Santos Costa et al.· Catalysis Research· 0 citations
Naringinase is an industrially important enzyme widely used in food, pharmaceutical, and biotechnological applications, particularly for citrus juice debittering. In the present study, naringinase production by Bacillus megaterium CP026736 was optimized under solid-state fermentation (SSF) using rice bran as a low-cost...
P. Kavashana, R. Kapilan, P. N. Yapa et al.· Ceylon Journal of Science· 0 citations
Terpenic esters are compounds of considerable industrial relevance that can be obtained through direct extraction or chemical synthesis. However, these conventional approaches present limitations, making biotechnological production a promising and sustainable alternative. In this study, it was investigated the biosynth...
Isabel Cristina Medeiros Prasilde, Carlos Alberto Chaves Girão, C. Richter et al.· Journal of Biotechnology· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.