对细胞培养介质优化算法方法的审查
Tianxun Zhou1, Rinta Reji1,2, Ryanjit Singh Kairon1,2
1Bioinformatics Institute, Cellular Image Informatics Division, A*STAR, Singapore, Singapore.
Frontiers in bioengineering and biotechnology
|May 30, 2023
概括
本综述系统地分类和比较了细胞培养基优化算法方法. 它指导研究人员选择最佳算法,以提高生物技术中的产品产量和成本效益.
科学领域:
- 生物技术是生物技术.
- 细胞生物学 细胞生物学
- 生物工艺工程 生物工艺工程
背景情况:
- 细胞培养介质的组成和条件显著影响生物生产的结果,包括产量,质量和成本.
- 培养媒介优化对于增强基于细胞的制造所需的产品效果至关重要.
- 为优化细胞培养介质而开发了许多算法方法.
研究的目的:
- 系统地审查和分类用于细胞培养基优化的算法方法.
- 从算法角度比较这些方法,帮助研究人员进行选择.
- 确定生物技术应用媒体优化的趋势和新发展.
主要方法:
- 对细胞培养基优化算法方法的系统文献综述.
- 基于算法属性的识别方法的分类和比较分析.
- 检查当前趋势和该领域的新兴发展.
主要成果:
- 一个全面的分类现有的算法方法用于细胞培养基优化.
- 详细解释和比较各种优化技术.
- 确定该领域的研究缺口和未来方向.
结论:
- 媒体优化算法的选择显著影响生物生产效率.
- 这次审查为研究人员提供了可行的建议,帮助他们选择合适的算法.
- 进一步开发新的优化方法对于应对未来生物技术挑战至关重要.
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