Information Systems School, Queensland University of Technology, Brisbane, 4000, Australia.
Prog Biophys Mol Biol. 2013 Sep;113(1):97-107. doi: 10.1016/j.pbiomolbio.2013.03.011. Epub 2013 Apr 6.
Biological systems exhibit a wide range of contextual effects, and this often makes it difficult to construct valid mathematical models of their behaviour. In particular, mathematical paradigms built upon the successes of Newtonian physics make assumptions about the nature of biological systems that are unlikely to hold true. After discussing two of the key assumptions underlying the Newtonian paradigm, we discuss two key aspects of the formalism that extended it, Quantum Theory (QT). We draw attention to the similarities between biological and quantum systems, motivating the development of a similar formalism that can be applied to the modelling of biological processes.
生物系统表现出广泛的上下文效应，这使得构建其行为的有效数学模型变得非常困难。特别是，基于牛顿物理学成功的数学范例对生物系统的性质做出了一些假设，这些假设不太可能成立。在讨论了牛顿范式的两个关键假设之后，我们讨论了扩展它的量子理论（QT）的两个关键方面。我们注意到生物系统和量子系统之间的相似性，这促使我们开发一种类似的形式主义，将其应用于生物过程的建模。
