Is Quantum Information Approach Suitable For Modelling Genetic Code?

自20世纪50年代初，以F.克里克和J.沃森，与其他自然科学相比，生物学的发展可能是最密集的。许多经验数据已经通过日益复杂的方法得到揭示。尽管生物学的理论基础在上个世纪取得了显著的进展，但它仍然处于一种萌芽状态，可以与牛顿之前的理论物理学相媲美。这就是为什么有必要寻找可靠的理论基础，特别是在遗传密码的建模方面。该项目旨在展示通过量子信息学中使用的形式主义来模拟量子力学DNA分子所携带的信息内容的可能性。这种建模将为揭示自然界的信息专利并将其用于量子计算和人工智能（A.I.）等领域开辟新的选择。此外，它将提供一个机会，了解在生物体中管理信息的方式。作为经验基础，可以使用来自GenBank的开放访问数据，其中包含从数千种生物体收集的数亿个长DNA文本。

Since the early 1950s, marked by the revolutionary discovery of the double helix structure of DNA by F. Crick and J. Watson, Biology has probably been developing most intensively compared to other natural sciences. A lot of empirical data have already been revealed using increasingly sophisticated methods. In spite of a remarkable progress made during the last century, Theoretical Foundations of Biology still remain in a nascent state, which can be compared with the state of Theoretical Physics before Newton. This is the reason why it is necessary to search for a reliable theoretical basis especially in the modelling of the genetic code. This project aims to show the possibilities of modelling the information content carried by quantum mechanical DNA-molecules by means of the formalism used in quantum informatics. Such modelling would open new options to reveal nature’s information patents and to use them, for instance, in quantum computing and artificial intelligence (A.I.) Moreover, it would give an opportunity to understand the ways of managing information in living organisms. As an empirical base, the open accessible data from GenBank which contains hundreds of millions of long DNA texts collected from thousands of organisms can be used.