کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8406362 1544938 2018 52 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The Cipher of the Genetic Code
ترجمه فارسی عنوان
رمزنگاری کد ژنتیک
کلمات کلیدی
کد ژنتیکی، رمزنگاری کد کلید رمز. درخت دودویی، کد خاکستری اسیدهای آمینه پروتئین، آمینو اسید های کونیکال، تعداد ذره های توازن،
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات مدل‌سازی و شبیه سازی
چکیده انگلیسی
A new approach to understanding of the genetic code is developed. In order to overcome the key paradox (and Darwinian selection problem) that the highly complex amino acid Phe is encoded by the simplest codons (UUY), and the simplest Gly encoded by the most complex codons (GGN); as well as the paradox of the duplication of some amino acids in the encoding process (Leu, Ser, Arg), we proposed an extension of the notion (and concept) of genetic code. For a better (and lighter) understanding of genetic coding, we proposed a hypothesis after that (under the conditions of allowed metaphoricity and modeling in biology) genetic code has to be understood, analogously in cryptology, as the unity of three entities: the code, the cipher of the code and the key of the cipher. In this hierarchy the term (and notion) "genetic code" remains what has been from the beginning: a connection between four-letter alphabet (four Py-Pu nucleotides, in form of codons) and a twenty-letter alphabet (twenty amino acids); the cipher is a specific chemical complementarity in chemical properties of molecules in the form: similarity in dissimilarity versus dissimilarity in similarity ("Sim in Diss vs Diss in Sim") and the key of cipher: the complementarity on the binary tree of the genetic code in the form: 0-15, 1-14, 2-13, …, 6-9, 7-8. These concepts improve understanding that within the two main Genetic Code Tables (of the nucleotide doublets and nucleotide Triplets) exists a sophisticated nuancing and balancing in the properties of the constituents of GC, including the balance of the number of molecules, atoms, and nucleons.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems - Volume 171, September 2018, Pages 31-47
نویسندگان
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