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)

• Main Authors: Alzaeemi, Shehab Abdulhabib, Noman, Efaq Ali, Al-shaibani, Muhanna Mohammed, Al-Gheethi, Adel, Radin Mohamed, Radin Maya Saphira, Almoheer, Reyad, Seif, Mubarak, Tay, Kim Gaik, Mohamad Zin, Noraziah, El Enshasy, Hesham Ali
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: TP Chemical technology
• Online Access: http://eprints.utm.my/107101/1/HeshamAliMetwally2023_ImprovementofLasparaginaseanAnticancerAgentofAspergillus.pdf; http://eprints.utm.my/107101/; http://dx.doi.org/10.3390/fermentation9030200

The present study aimed to optimize the production of L-asparaginase from Aspergillus arenarioides EAN603 in submerged fermentation using a radial basis function neural network with a specific genetic algorithm (RBFNN-GA) and response surface methodology (RSM). Independent factors used included temp...