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利用人工智能和机器学习技术对真菌天冬酰胺酶生产发酵工艺条件建模和优化的比较研究

IF 2 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Preparative Biochemistry & Biotechnology Pub Date : 2024-06-19 DOI:10.1080/10826068.2024.2367692
Gurunathan Baskar, Rajendran Sivakumar, Seifedine Kadry, Cheng-Di Dong, Reeta Rani Singhania, Ramanujam Praveenkumar, Elumalai Raja Sathendra
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引用次数: 0

摘要

L-天冬酰胺酶是一种商业酶，既可用作癌症治疗的化疗药物，也可用作背带食品和油炸食品工业的食品加工剂。在目前的研究工作中，人工...
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Comparative studies on modeling and optimization of fermentation process conditions for fungal asparaginase production using artificial intelligence and machine learning techniques
The L-asparaginase is commercial enzyme used as chemotherapeutic agent in cancer treatment and food processing agent in backed and fried food industries. In the present research work, the artificia...
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来源期刊
Preparative Biochemistry & Biotechnology
Preparative Biochemistry & Biotechnology 工程技术-生化研究方法
CiteScore
4.90
自引率
3.40%
发文量
98
审稿时长
2 months
期刊介绍： Preparative Biochemistry & Biotechnology is an international forum for rapid dissemination of high quality research results dealing with all aspects of preparative techniques in biochemistry, biotechnology and other life science disciplines.
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