首页> 外文期刊>IEEE/ACM transactions on computational biology and bioinformatics >Search for a Minimal Set of Parameters by Assessing the Total Optimization Potential for a Dynamic Model of a Biochemical Network
【24h】

Search for a Minimal Set of Parameters by Assessing the Total Optimization Potential for a Dynamic Model of a Biochemical Network

机译:通过评估生化网络动态模型的总优化潜力来搜索最小的参数集

获取原文
获取原文并翻译 | 示例
           

摘要

Selecting an efficient small set of adjustable parameters to improve metabolic features of an organism is important for a reduction of implementation costs and risks of unpredicted side effects. In practice, to avoid the analysis of a huge combinatorial space for the possible sets of adjustable parameters, experience-, and intuition-based subsets of parameters are often chosen, possibly leaving some interesting counter-intuitive combinations of parameters unrevealed. The combinatorial scan of possible adjustable parameter combinations at the model optimization level is possible; however, the number of analyzed combinations is still limited. The total optimization potential (TOP) approach is proposed to assess the full potential for increasing the value of the objective function by optimizing all possible adjustable parameters. This seemingly unpractical combination of adjustable parameters allows assessing the maximum attainable value of the objective function and stopping the combinatorial space scanning when the desired fraction of TOP is reached and any further increase in the number of adjustable parameters cannot bring any reasonable improvement. The relation between the number of adjustable parameters and the reachable fraction of TOP is a valuable guideline in choosing a rational solution for industrial implementation. The TOP approach is demonstrated on the basis of two case studies.
机译:选择有效的少量可调参数以改善生物体的代谢特征,对于降低实施成本和不可预测的副作用风险非常重要。在实践中,为避免对可能的可调参数集进行巨大的组合空间分析,通常会选择基于经验和基于直觉的参数子集,这可能会遗漏一些有趣的反直觉参数组合。在模型优化级别对可能的可调参数组合进行组合扫描是可能的;但是,分析组合的数量仍然有限。提出了总优化潜力(TOP)方法,以通过优化所有可能的可调参数来评估增加目标函数值的全部潜力。可调参数的这种看似不切实际的组合允许评估目标函数的最大可达到值,并在达到所需的TOP分数时停止组合空间扫描,并且可调参数数量的任何进一步增加都无法带来任何合理的改进。可调参数的数量与TOP的可达到部分之间的关​​系是为工业实施选择合理解决方案的宝贵指导。在两个案例研究的基础上论证了TOP方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号