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Strategies for improving the production of bio-based vanillin.

• Authors : Liu Y; Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.; Sun L

Subjects: Biotechnology* ; Benzaldehydes*/Benzaldehydes*/Benzaldehydes*/metabolism

• Source: Microbial cell factories [Microb Cell Fact] 2023 Aug 05; Vol. 22 (1), pp. 147. Date of Electronic Publication: 2023 Aug 05.Publisher: BioMed Central Country of Publication: England NLM ID: 101139812 Publication Model: Electronic Cited Medium:

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Optimization of laccase production from Marasmiellus palmivorus LA1 by Taguchi method of Design of experiments.

• Authors : Chenthamarakshan, Aiswarya¹; Parambayil, Nayana¹; Miziriya, Nafeesathul¹

Subjects: *LACCASE; *EXPERIMENTAL design; *BIOTECHNOLOGY

• Source: BMC Biotechnology. 2/13/2017, Vol. 17, p1-10. 10p.

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Impact of an energy-conserving strategy on succinate production under weak acidic and anaerobic conditions in Enterobacter aerogenes.

• Authors : Yoshinori Tajima¹ ; Yoko Yamamoto¹; Keita Fukui¹

Subjects: *SUCCINATES; *BIOTECHNOLOGY; *ENTEROBACTER aerogenes

• Source: Microbial Cell Factories. 2015, Vol. 14 Issue 1, p1-13. 13p. 2 Black and White Photographs, 2 Diagrams, 4 Charts, 1 Graph.

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Efficient production of extracellular pullulanase in Bacillus subtilis ATCC6051 using the host strain construction and promoter optimization expression system.

• Authors : Liu X; School of Biology and Biological Engineering, Guangzhou Higher Education Mega Centre, South China University of Technology, Building B6, Panyu District, Guangzhou, 510006, Guangdong, People's Republic of China.; Wang H

Subjects: Gene Expression* ; Promoter Regions, Genetic*; Bacillus subtilis/Bacillus subtilis/Bacillus subtilis/*metabolism

• Source: Microbial cell factories [Microb Cell Fact] 2018 Oct 22; Vol. 17 (1), pp. 163. Date of Electronic Publication: 2018 Oct 22.Publisher: BioMed Central Country of Publication: England NLM ID: 101139812 Publication Model: Electronic Cited Medium:

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Strategy for mass production of lytic Staphylococcus aureus bacteriophage pSa-3: contribution of multiplicity of infection and response surface methodology

• Authors : Sang Guen Kim; Jun Kwon; Jung Woo Kang

Subjects: Optimization; Staphylococcus aureus; Lysis

• Source: Microbial Cell FactoriesMicrobial Cell Factories, Vol 20, Iss 1, Pp 1-12 (2021)

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Biosurfactant from endophytic Bacillus pumilus 2A: physicochemical characterization, production and optimization and potential for plant growth promotion

• Authors : Tadeusz Antczak; Wojciech Smułek; Arkadiusz Polewczyk

Subjects: 0106 biological sciences; Optimization; Plant-growth promotion

• Source: Microbial Cell FactoriesMicrobial Cell Factories, Vol 20, Iss 1, Pp 1-11 (2021)

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Optimizing operational parameters for the enzymatic production of furandicarboxylic acid building block

• Authors : Ángel T. Martínez; Ana Serrano; María Isabel Sánchez-Ruiz ...

Subjects: 5‑Formylfurancarboxylic acid intermediate; Bioengineering; Reaction intermediate

• Source: Digital.CSIC. Repositorio Institucional del CSICinstnameMicrobial Cell FactoriesMicrobial Cell Factories, Vol 20, Iss 1, Pp 1-13 (2021)

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An effective combination of codon optimization, gene dosage, and process optimization for high-level production of fibrinolytic enzyme in Komagataella phaffii (Pichia pastoris)

• Authors : Xiaoyan Cao; Guiguang Chen; Zhiqun Che

Subjects: 0106 biological sciences; lcsh:Biotechnology; Gene Dosage

• Source: BMC BiotechnologyBMC Biotechnology, Vol 20, Iss 1, Pp 1-13 (2020)

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Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of plant growth regulators on somatic embryogenesis of chrysanthemum, as a case study

• Authors : Roohangiz Naderi; Mohsen Hesami; Mohsen Yoosefzadeh-Najafabadi

Subjects: 0106 biological sciences; 0301 basic medicine; Artificial intelligence

• Source: Plant MethodsPlant Methods, Vol 16, Iss 1, Pp 1-15 (2020)

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Steady-state global optimization of metabolic non-linear dynamic models through recasting into power-law canonical models.

• Source: BMC Systems Biology. 2011, Vol. 5 Issue 1, p137-148. 12p. 2 Diagrams, 7 Charts, 1 Graph.

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