CMCpy: Genetic Code-Message Coevolution Models in Python
نویسندگان
چکیده
منابع مشابه
CMCpy: Genetic Code-Message Coevolution Models in Python
Code-message coevolution (CMC) models represent coevolution of a genetic code and a population of protein-coding genes ("messages"). Formally, CMC models are sets of quasispecies coupled together for fitness through a shared genetic code. Although CMC models display plausible explanations for the origin of multiple genetic code traits by natural selection, useful modern implementations of CMC m...
متن کاملCoevolution theory of the genetic code at age thirty.
The coevolution theory of the genetic code, which postulates that prebiotic synthesis was an inadequate source of all twenty protein amino acids, and therefore some of them had to be derived from the coevolving pathways of amino acid biosynthesis, has been assessed in the light of the discoveries of the past three decades. Its four fundamental tenets regarding the essentiality of amino acid bio...
متن کاملChemical Genetic Algorithms — Coevolution between Codes and Code Translation
A chemical genetic algorithm (CGA) in which several types of molecules (information units) react with each other in a cell is proposed. Translation from codons (short substrings of bits) in DNA to amino acids (real value units) is specified by a particular set of translation molecules created by the reaction between tRNA units and amino acid units. This adaptively changes and optimizes the fund...
متن کاملAutomated Coevolution of Source Code and Software Architecture Models
To develop complex software systems, source code and other artefacts, such as architectural models and behaviour descriptions, are used. Keeping these software architecture-based models consistent with the systems’ source code during software development and software evolution helps software architects. Having up-to-date architecture models eases the development and evolution tasks since questi...
متن کاملCoevolution in Commercial Genetic Engineering
This article addresses the problem of selection criteria and mechanisms at work in the production of scientific and technological knowledge. The two dichotomies of scientifictechnological knowledge and public—private returns are used to specify four ideal-type environments, which consist of institutions and incentives and which influence the creation and selection of new knowledge. The theoreti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Evolutionary Bioinformatics
سال: 2013
ISSN: 1176-9343,1176-9343
DOI: 10.4137/ebo.s11169