摘要翻译：
遗传密码是DNA序列编码蛋白质的密码子和氨基酸之间的函数。由于密码子也影响DNA分子本身的形状，编码蛋白质的相同序列也有单独的几何解释。于是出现了一个问题：这两个“代码”的双工性有多好？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，一个人仍然有多少自由来改变几何学（或者反之亦然）。第一作者最近的一篇论文用两种不同的方法解决了这个问题。在回顾了这些结果之后，本文用第三种方法解决了同样的问题：利用蒙特卡罗和高斯抽样方法逼近一个表示各种可能的遗传密码互信息的多重积分。再一次发现，与其他假设的遗传密码相比，核DNA中使用的遗传密码的双工效率略低于平均水平。最后一节讨论了这些令人惊讶的结果的意义。
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英文标题：
《Did Sequence Dependent Geometry Influence the Evolution of the Genetic
  Code?》
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作者：
Alex Kasman and Brenton LeMesurier
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最新提交年份：
2020
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类：Computer Science        计算机科学
二级分类：Information Theory        信息论
分类描述：Covers theoretical and experimental aspects of information theory and coding. Includes material in ACM Subject Class E.4 and intersects with H.1.1.
涵盖信息论和编码的理论和实验方面。包括ACM学科类E.4中的材料，并与H.1.1有交集。
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一级分类：Mathematics        数学
二级分类：Information Theory        信息论
分类描述：math.IT is an alias for cs.IT. Covers theoretical and experimental aspects of information theory and coding.
它是cs.it的别名。涵盖信息论和编码的理论和实验方面。
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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.
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PDF链接：
https://arxiv.org/pdf/2003.01553