A logic-based dynamic modeling approach to explicate the evolution of the central dogma of molecular biology.

It is nearly half a century past the age of the introduction of the Central Dogma (CD) of molecular biology. This biological axiom has been developed and currently appears to be all the more complex. In this study, we modified CD by adding further species to the CD information flow and mathematicall...

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Main Authors: Mohieddin Jafari, Naser Ansari-Pour, Sadegh Azimzadeh, Mehdi Mirzaie
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5739447?pdf=render
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spelling doaj-e0ff2792da794ebcb4693159a1be89342020-11-25T02:29:05ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-011212e018992210.1371/journal.pone.0189922A logic-based dynamic modeling approach to explicate the evolution of the central dogma of molecular biology.Mohieddin JafariNaser Ansari-PourSadegh AzimzadehMehdi MirzaieIt is nearly half a century past the age of the introduction of the Central Dogma (CD) of molecular biology. This biological axiom has been developed and currently appears to be all the more complex. In this study, we modified CD by adding further species to the CD information flow and mathematically expressed CD within a dynamic framework by using Boolean network based on its present-day and 1965 editions. We show that the enhancement of the Dogma not only now entails a higher level of complexity, but it also shows a higher level of robustness, thus far more consistent with the nature of biological systems. Using this mathematical modeling approach, we put forward a logic-based expression of our conceptual view of molecular biology. Finally, we show that such biological concepts can be converted into dynamic mathematical models using a logic-based approach and thus may be useful as a framework for improving static conceptual models in biology.http://europepmc.org/articles/PMC5739447?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Mohieddin Jafari
Naser Ansari-Pour
Sadegh Azimzadeh
Mehdi Mirzaie
spellingShingle Mohieddin Jafari
Naser Ansari-Pour
Sadegh Azimzadeh
Mehdi Mirzaie
A logic-based dynamic modeling approach to explicate the evolution of the central dogma of molecular biology.
PLoS ONE
author_facet Mohieddin Jafari
Naser Ansari-Pour
Sadegh Azimzadeh
Mehdi Mirzaie
author_sort Mohieddin Jafari
title A logic-based dynamic modeling approach to explicate the evolution of the central dogma of molecular biology.
title_short A logic-based dynamic modeling approach to explicate the evolution of the central dogma of molecular biology.
title_full A logic-based dynamic modeling approach to explicate the evolution of the central dogma of molecular biology.
title_fullStr A logic-based dynamic modeling approach to explicate the evolution of the central dogma of molecular biology.
title_full_unstemmed A logic-based dynamic modeling approach to explicate the evolution of the central dogma of molecular biology.
title_sort logic-based dynamic modeling approach to explicate the evolution of the central dogma of molecular biology.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description It is nearly half a century past the age of the introduction of the Central Dogma (CD) of molecular biology. This biological axiom has been developed and currently appears to be all the more complex. In this study, we modified CD by adding further species to the CD information flow and mathematically expressed CD within a dynamic framework by using Boolean network based on its present-day and 1965 editions. We show that the enhancement of the Dogma not only now entails a higher level of complexity, but it also shows a higher level of robustness, thus far more consistent with the nature of biological systems. Using this mathematical modeling approach, we put forward a logic-based expression of our conceptual view of molecular biology. Finally, we show that such biological concepts can be converted into dynamic mathematical models using a logic-based approach and thus may be useful as a framework for improving static conceptual models in biology.
url http://europepmc.org/articles/PMC5739447?pdf=render
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