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计算优化与生物进化。

Computational optimization and biological evolution.

机构信息

School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, Scotland, UK.

出版信息

Biochem Soc Trans. 2010 Oct;38(5):1206-9. doi: 10.1042/BST0381206.

Abstract

Modelling and optimization principles become a key concept in many biological areas, especially in biochemistry. Definitions of objective function, fitness and co-evolution, although they differ between biology and mathematics, are similar in a general sense. Although successful in fitting models to experimental data, and some biochemical predictions, optimization and evolutionary computations should be developed further to make more accurate real-life predictions, and deal not only with one organism in isolation, but also with communities of symbiotic and competing organisms. One of the future goals will be to explain and predict evolution not only for organisms in shake flasks or fermenters, but for real competitive multispecies environments.

摘要

建模和最优化原理成为许多生物学领域的关键概念,特别是在生物化学领域。目标函数、适应度和共同进化的定义虽然在生物学和数学之间有所不同,但在一般意义上是相似的。虽然在将模型拟合到实验数据和一些生化预测方面取得了成功,但优化和进化计算应该进一步发展,以做出更准确的现实生活预测,不仅要处理孤立的一个生物体,还要处理共生和竞争生物体的群落。未来的目标之一将是不仅要解释和预测在摇瓶或发酵罐中的生物体的进化,还要解释和预测真正的多物种竞争环境中的进化。

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