摘要翻译：
利用q变形的数学概念，特别是q数的数学概念，研究遗传密码。在考虑了两种q-数之后，为了进行比较，首先建立了遗传密码及其众多次要变体的现象学分类方案。接下来，描述附加氨基酸，如硒半胱氨酸或/和吡咯赖氨酸存在的数字也被产生。最后，找到了最少数量的氨基酸，可以与被认为参与地球生命起源的少量氨基酸相吻合。所有这些结果共同构成了我们最后的半唯象模型。
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英文标题：
《Semi-phenomenological classification models of the genetic code(s) using
  q-deformed numbers》
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作者：
Tidjani Negadi
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最新提交年份：
2016
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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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英文摘要：
  The mathematical concept of q-deformations, in particular the one of qnumbers, is used to study the genetic code(s). After considering two kinds of q-numbers, for comparison, a phenomenological classification scheme of the genetic code together with its numerous minor variants is, first, established. Next, numbers describing the presence of additional amino acids, such as Selenocysteine or/and Pyrrolysine, are also produced. Finally, a minimal number of amino acids, which could fit the small number of them which are thought to have been involved, at the origin of life on Earth, is found. All together, these results constitute our final semi-phenomenological model.
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PDF链接：
https://arxiv.org/pdf/1607.07278