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arXiv 0806.2331q-bio.MNphysics.bio-phq-bio.PE
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演化动力学的最优控制

Optimal Control of Evolutionary Dynamics

Raj Chakrabarti, Herschel Rabitz, George McLendon

摘要:

阐明复杂生物系统进化过程中优化的适应度是进化理论的一个重大挑战。我们提出了实验证据和分析框架,展示了生化网络如何在其演化动力学中利用最佳控制策略。最优控制理论解释了一个显着的模式,极端化的氧化还原电位的电子传递蛋白质,假设只有他们的健身措施是一个控制目标功能与有界控制。

英文摘要:

Elucidating the fitness measures optimized during the evolution of complex biological systems is a major challenge in evolutionary theory. We present experimental evidence and an analytical framework demonstrating how biochemical networks exploit optimal control strategies in their evolutionary dynamics. Optimal control theory explains a striking pattern of extremization in the redox potentials of electron transport proteins, assuming only that their fitness measure is a control objective functional with bounded controls.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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