Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Adv Exp Med Biol. 2012;736:441-59. doi: 10.1007/978-1-4419-7210-1_26.
Understanding and optimizing the CO(2) fixation process would allow human beings to address better current energy and biotechnology issues. We focused on modeling the C(3) photosynthetic Carbon metabolism pathway with the aim of identifying the minimal set of enzymes whose biotechnological alteration could allow a functional re-engineering of the pathway. To achieve this result we merged in a single powerful pipe-line Sensitivity Analysis (SA), Single- (SO) and Multi-Objective Optimization (MO), and Robustness Analysis (RA). By using our recently developed multipurpose optimization algorithms (PAO and PMO2) here we extend our work exploring a large combinatorial solution space and most importantly, here we present an important reduction of the problem search space. From the initial number of 23 enzymes we have identified 11 enzymes whose targeting in the C(3) photosynthetic Carbon metabolism would provide about 90% of the overall functional optimization. Both in terms of maximal CO(2) Uptake and minimal Nitrogen consumption, these 11 sensitive enzymes are confirmed to play a key role. Finally we present a RA to confirm our findings.
了解和优化 CO2 固定过程将使人类能够更好地解决当前的能源和生物技术问题。我们专注于对 C3 光合作用碳代谢途径进行建模，目的是确定最小的一组酶，通过生物技术改变这些酶可以对途径进行功能重新设计。为了实现这一结果，我们将敏感性分析 (SA)、单目标优化 (SO) 和多目标优化 (MO) 以及稳健性分析 (RA) 合并到一个单一的强大管道中。在这里，我们使用最近开发的多用途优化算法 (PAO 和 PMO2) 扩展了我们的工作，探索了一个大型组合解空间，最重要的是，我们在这里提出了对问题搜索空间的重要缩减。从最初的 23 种酶中，我们确定了 11 种酶，它们在 C3 光合作用碳代谢中的靶向作用将提供约 90%的整体功能优化。无论是在最大 CO2 摄取量还是最小氮消耗方面，这 11 种敏感酶都被证实发挥了关键作用。最后，我们进行了稳健性分析以验证我们的发现。
