Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Genetic Algorithm (RBFNN-GA)

Alzaeemi, Shehab Abdulhabib; Noman, Efaq Ali; Al-shaibani, Muhanna Mohammed; Al‐Gheethi, Adel; Mohamed, Radin Maya Saphira Radin; Almoheer, Reyad; Seif, Mubarak; Tay, Kim Gaik; Zin, Noraziah Mohamad; El‐Enshasy, Hesham A.

doi:10.3390/fermentation9030200

Cited by 7 publications

(2 citation statements)

References 28 publications

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“…The hidden layer uses the Gaussian activation function [41], which is mathematically represented by Equation ( 2). The standard deviation σ [42] is calculated based on the width parameter "p" as shown in Equation ( 3). The RBFNN architecture for temperature forecasting is illustrated in Figure 5, and for humidity forecasting, it is depicted in Figure 6.…”

Section: Radial Basis Function Neural Network (Rbfnn)mentioning

confidence: 99%

Weather Forecasting Using Radial Basis Function Neural Network in Warangal, India

Veeramsetty¹,

Kiran²,

Sushma³

et al. 2023

Urban Science

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Weather forecasting is an essential task in any region of the world for proper planning of various sectors that are affected by climate change. In Warangal, most sectors, such as agriculture and electricity, are mainly influenced by climate conditions. In this study, weather (WX) in the Warangal region was forecast in terms of temperature and humidity. A radial basis function neural network was used in this study to forecast humidity and temperature. Humidity and temperature data were collected for the period of January 2021 to December 2021. Based on the simulation results, it is observed that the radial basis function neural network model performs better than other machine learning models when forecasting temperature and humidity.

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Section: Radial Basis Function Neural Network (Rbfnn)mentioning

confidence: 99%

Weather Forecasting Using Radial Basis Function Neural Network in Warangal, India

Veeramsetty¹,

Kiran²,

Sushma³

et al. 2023

Urban Science

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“…These two essential features make enzymes distinct and potent. As a result, different enzyme-based medicines have been developed to treat various medical conditions [4]. Research indicates that bacterial enzymes can harm the kidneys and liver as well as become highly immunogenic and have poor substrate selectivity.…”

Section: Introductionmentioning

confidence: 99%

Isolation, Screening And Morphological Identification Of Fungal L-Methionase From Rotten Fruits And Vegetables

Rajpara,

Vadhiya,

Kava

et al. 2024

eatp

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Globally, cancer is becoming a more common cause of both mortality and morbidity. L-Methionase is one of the few microbial enzymes with high therapeutic value since it has been reported as an effective anticancer agent against many types of tumor cell lines like breast, lung, colon, kidney, and glioblastoma. Normal cells have a high requirement of amino acids as nutrients, without amino acids, tumor cells fail to function because protein can't be synthesized and tumor cells will die. L-Methionase has important biotechnological applications because of exhibits hydrolytic properties to catalyze α-γ elimination of L-methionine, an essential amino acid to α-ketobutyrate, methanethiol, and ammonia. The catalytic activity of L-Methionase could be used as enzyme supplementation therapy for these diseases. enzyme has been extensively studied by a wide range of organisms, including bacteria, fungi, protozoa, and plants. As a result, of the current study, we obtain 24 fungal isolates from rotten fruits and vegetables. Qualitative and quantitative screening assay test shows the ability of seven isolates to grow with yellow zones surrounding their colonial growth. MFL 9 (3.45 µmol/min/ml) and MFL24 (2.95 µmol/min/ml) exhibit the highest L-Methionase enzyme activity according to the Nesslerization assay performed for the detection of ammonia. Therefore, the current study indicates that the enzyme extract from the new isolates has enhanced L-Methionase activity and could be a novel and promising therapy for cancer.

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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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Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Genetic Algorithm (RBFNN-GA)

Cited by 7 publications

References 28 publications

Weather Forecasting Using Radial Basis Function Neural Network in Warangal, India

Weather Forecasting Using Radial Basis Function Neural Network in Warangal, India

Isolation, Screening And Morphological Identification Of Fungal L-Methionase From Rotten Fruits And Vegetables

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

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