کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5520614 1544950 2017 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Review articleGenetic coding and united-hypercomplex systems in the models of algebraic biology
ترجمه فارسی عنوان
کدنویسی ژنتیک و سیستم های بیش از حد ترکیبی در مدل های جبری را مرور کنید
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات مدل‌سازی و شبیه سازی
چکیده انگلیسی

Structured alphabets of DNA and RNA in their matrix form of representations are connected with Walsh functions and a new type of systems of multidimensional numbers. This type generalizes systems of complex numbers and hypercomplex numbers, which serve as the basis of mathematical natural sciences and many technologies. The new systems of multi-dimensional numbers have interesting mathematical properties and are called in a general case as “systems of united-hypercomplex numbers” (or briefly “U-hypercomplex numbers”). They can be widely used in models of multi-parametrical systems in the field of algebraic biology, artificial life, devices of biological inspired artificial intelligence, etc. In particular, an application of U-hypercomplex numbers reveals hidden properties of genetic alphabets under cyclic permutations in their doublets and triplets. A special attention is devoted to the author's hypothesis about a multi-linguistic in DNA-sequences in a relation with an ensemble of U-numerical sub-alphabets. Genetic multi-linguistic is considered as an important factor to provide noise-immunity properties of the multi-channel genetic coding. Our results attest to the conformity of the algebraic properties of the U-numerical systems with phenomenological properties of the DNA-alphabets and with the complementary device of the double DNA-helix. It seems that in the modeling field of algebraic biology the genetic-informational organization of living bodies can be considered as a set of united-hypercomplex numbers in some association with the famous slogan of Pythagoras “the numbers rule the world”.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems - Volume 158, August 2017, Pages 31-46
نویسندگان
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