Modeling of astaxanthin biosynthesis via machine learning, mathematical and metabolic network modeling.

IF 8.1 2区 工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Critical Reviews in Biotechnology Pub Date : 2024-09-01 Epub Date: 2023-08-16 DOI:10.1080/07388551.2023.2237183
Vinoj Chamilka Liyanaarachchi, Gannoru Kankanamalage Sanuji Hasara Nishshanka, P H Viraj Nimarshana, Jo-Shu Chang, Thilini U Ariyadasa, Dillirani Nagarajan
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引用次数: 0

Abstract

Natural astaxanthin is synthesized by diverse organisms including: bacteria, fungi, microalgae, and plants involving complex cellular processes, which depend on numerous interrelated parameters. Nonetheless, existing knowledge regarding astaxanthin biosynthesis and the conditions influencing astaxanthin accumulation is fairly limited. Thus, manipulation of the growth conditions to achieve desired biomass and astaxanthin yields can be a complicated process requiring cost-intensive and time-consuming experiment-based research. As a potential solution, modeling and simulation of biological systems have recently emerged, allowing researchers to predict/estimate astaxanthin production dynamics in selected organisms. Moreover, mathematical modeling techniques would enable further optimization of astaxanthin synthesis in a shorter period of time, ultimately contributing to a notable reduction in production costs. Thus, the present review comprehensively discusses existing mathematical modeling techniques which simulate the bioaccumulation of astaxanthin in diverse organisms. Associated challenges, solutions, and future perspectives are critically analyzed and presented.

通过机器学习、数学和代谢网络建模建立虾青素生物合成模型。
天然虾青素由多种生物合成,包括细菌、真菌、微藻和植物,涉及复杂的细胞过程,取决于许多相互关联的参数。然而,现有关于虾青素生物合成和影响虾青素积累的条件的知识相当有限。因此,操纵生长条件以获得理想的生物量和虾青素产量是一个复杂的过程,需要进行成本高昂且耗时的实验研究。作为一种潜在的解决方案,最近出现了生物系统建模和模拟,使研究人员能够预测/估算选定生物的虾青素生产动态。此外,数学建模技术还能在更短的时间内进一步优化虾青素的合成,最终显著降低生产成本。因此,本综述全面讨论了模拟虾青素在不同生物体内生物累积的现有数学建模技术。对相关的挑战、解决方案和未来展望进行了批判性分析和介绍。
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来源期刊
Critical Reviews in Biotechnology
Critical Reviews in Biotechnology 工程技术-生物工程与应用微生物
CiteScore
20.80
自引率
1.10%
发文量
71
审稿时长
4.8 months
期刊介绍: Biotechnological techniques, from fermentation to genetic manipulation, have become increasingly relevant to the food and beverage, fuel production, chemical and pharmaceutical, and waste management industries. Consequently, academic as well as industrial institutions need to keep abreast of the concepts, data, and methodologies evolved by continuing research. This journal provides a forum of critical evaluation of recent and current publications and, periodically, for state-of-the-art reports from various geographic areas around the world. Contributing authors are recognized experts in their fields, and each article is reviewed by an objective expert to ensure accuracy and objectivity of the presentation.
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