论文标题
序列依赖性几何形状是否影响遗传密码的演变？
Did Sequence Dependent Geometry Influence the Evolution of the Genetic Code?
论文作者
论文摘要
遗传代码是从密码子集到DNA序列编码蛋白质的氨基酸集的功能。由于密码子也会影响DNA分子本身的形状，因此编码蛋白质的相同序列也具有单独的几何解释。然后出现一个问题：这两个“代码”的封闭式如何充实？换句话说，在选择遗传序列来编码特定蛋白质时，仍然必须有多少自由需要改变几何形状（反之亦然）。第一作者的最新论文使用两种不同的方法解决了这个问题。在回顾了这些结果后，本文通过第三种方法解决了相同的问题：使用蒙特卡洛和高斯采样方法近似代表各种可能遗传代码的共同信息的多综合信息。再次发现，与其他假设的遗传密码相比，核DNA中使用的遗传密码略低于平均复制效率。总结部分讨论了这些令人惊讶的结果的重要性。
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.
