Optimization of intracellular L-Asparaginase production by
            <i>Streptomyces paulus</i>
            CA01 isolated from wheat bran using the response surface methodology

Chergui, Achour; Trabelsi, Lamia; Salem-Bekhit, Mounir M.; Mahmoud, Mohamed H.; Taha, Ehab I.; Ibrahim, Mohamed A.; Erto, Alessandro; Imessaoudene, Ali; Kecha, Mouloud; Benguerba, Yacine; Houali, Karim

doi:10.1080/13102818.2023.2281493

Biotechnology & Biotechnological Equipment

2023

DOI: 10.1080/13102818.2023.2281493

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Optimization of intracellular L-Asparaginase production by Streptomyces paulus CA01 isolated from wheat bran using the response surface methodology

Achour Chergui,

Lamia Trabelsi,

Mounir M. Salem-Bekhit

et al.

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2024

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Cited by 2 publications

References 28 publications

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l‐Asparaginase Bio‐Betters: Insight Into Current Formulations, Optimization Strategies and Future Bioengineering Frontiers in Anti‐Cancer Drug Development

Sonowal,

Pathak,

Das

et al. 2024

Advanced Therapeutics

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Cancer remains a persistent global health concern, representing a significant challenge in medical science and patient care. In this context, l‐asparaginase has emerged as a promising therapeutic agent due to its unique ability to deplete circulating asparagine, thereby selectively targeting cancer cells. However, despite its potential, current formulations of l‐asparaginase are not without limitations. Issues such as immunogenicity, short half‐life, and variable efficacy present hurdles in its widespread clinical application. To overcome these hurdles, researchers are focusing on developing bio‐better versions of l‐asparaginase. These bio‐betters aim to enhance stability, reduce immunogenicity, and optimize enzyme kinetics, thus improving treatment outcomes. This review critically assesses the current landscape of l‐asparaginase bio‐betters, offering insights into ongoing formulations and advancements, optimization strategies, and future bio‐engineering frontiers. It discusses modifications to enhance therapeutic properties and explores innovative approaches like in‐silico enzyme engineering and artificial intelligence, highlighting their potential to improve the therapeutic profile of l‐asparaginase. Challenges and debates surrounding the l‐asparaginase mechanism are also addressed. By addressing current challenges and outlining future directions, this review aims to contribute to the advancement of anti‐cancer therapeutics, particularly in the context of l‐asparaginase bio‐better research.

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l‐Asparaginase Bio‐Betters: Insight Into Current Formulations, Optimization Strategies and Future Bioengineering Frontiers in Anti‐Cancer Drug Development

Sonowal,

Pathak,

Das

et al. 2024

Advanced Therapeutics

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Artificial intelligence-based optimization for extracellular L-glutaminase free L-asparaginase production by Streptomyces violaceoruber under solid state fermentation conditions

El-Naggar,

Hamouda,

Elshafey

2024

Sci Rep

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The bacterial L-asparaginase is a highly effective chemotherapeutic drug and a cornerstone of treatment protocols used for treatment the acute lymphoblastic leukemia in pediatric oncology. A potential actinomycete isolate, Streptomyces sp. strain NEAE-99, produces glutaminase-free L-asparaginase was isolated from a soil sample. This potential strain was identified as S. violaceoruber strain NEAE-99. The central composite design (CCD) approach was utilized for finding the optimal values for four variables including the mixture of soybean and wheat bran in a 1:1 ratio (w/w), the concentrations of dextrose, L-asparagine, and potassium nitrate under solid state fermentation conditions. Through the use of an artificial neural network (ANN), the production of L-asparaginase by S. violaceoruber has been investigated, validated, and predicted in comparison to CCD. It was found that the optimal predicted conditions for maximum L-asparaginase production (216.19 U/gds) were 8.46 g/250 mL Erlenmeyer flask of soybean and wheat bran mixture in a 1:1 ratio (w/w), 2.2 g/L of dextrose, 18.97 g/L of L-asparagine, and 1.34 g/L of KNO3. The experimental results (207.55 U/gds) closely approximated the theoretical values (216.19 U/gds), as evidenced by the validation. This suggests that the ANN exhibited a high degree of precision and predictive capability.

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Optimization of intracellular L-Asparaginase production by Streptomyces paulus CA01 isolated from wheat bran using the response surface methodology

Cited by 2 publications

References 28 publications

l‐Asparaginase Bio‐Betters: Insight Into Current Formulations, Optimization Strategies and Future Bioengineering Frontiers in Anti‐Cancer Drug Development

l‐Asparaginase Bio‐Betters: Insight Into Current Formulations, Optimization Strategies and Future Bioengineering Frontiers in Anti‐Cancer Drug Development

Artificial intelligence-based optimization for extracellular L-glutaminase free L-asparaginase production by Streptomyces violaceoruber under solid state fermentation conditions

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