序列依赖几何影响了遗传密码的进化吗？
Did Sequence Dependent Geometry Influence the Evolution of the Genetic Code?
摘要：
遗传密码是从密码子集合到氨基酸集合的函数，DNA序列通过该函数编码蛋白质。由于密码子也影响DNA分子本身的形状，因此编码蛋白质的同一序列也有单独的几何解释。问题是：这两个“代码”有多好？换句话说，在选择一个基因序列来编码一个特定的蛋白质时，人们还有多少自由来改变几何形状（反之亦然）。第一作者最近的一篇论文使用两种不同的方法解决了这个问题。回顾这些结果后，本文解决了同样的问题与第三种方法：使用蒙特卡罗和高斯采样方法来近似的多积分表示的各种可能的遗传密码的互信息。再一次发现，与其他假设的遗传密码相比，核DNA中使用的遗传密码具有略低于平均的测序效率。最后一节讨论了这些令人惊讶的结果的意义。
英文摘要：
The genetic code is the function from the set of codons to the set of amino acids by which a DNA sequence encodes proteins. Since the codons also influence the shape of the DNA molecule itself, the same sequence that encodes a protein also has a separate geometric interpretation. A question then arises: How well-duplexed are these two "codes"? In other words, in choosing a genetic sequence to encode a particular protein, how much freedom does one still have to vary the geometry (or vice versa). A recent paper by the first author addressed this question using two different methods. After reviewing those results, this paper addresses the same question with a third method: the use of Monte Carlo and Gaussian sampling methods to approximate a multi-integral representing the mutual information of a variety of possible genetic codes. Once again, it is found that the genetic code used in nuclear DNA has a slightly lower than average duplexing efficiency as compared with other hypothetical genetic codes. A concluding section discusses the significance of these surprising results.
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。
