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

ABSTRACT: 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.

SUBMITTER: Jafari M

PROVIDER: S-EPMC5739447 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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

Jafari Mohieddin M Ansari-Pour Naser N Azimzadeh Sadegh S Mirzaie Mehdi M

PloS one 20171221 12

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 complexi ...[more]

PMID: 29267315

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

Publications

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

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