ArticlePloS one
A logic-based dynamic modeling approach to explicate the evolution of the central dogma of molecular biology.
Article in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Solubility based mechanistic profiling of combinatorial drug therapy.Nature communications · 2026Article
- Boolean logic links chromatin accessibility states to gene expression variability across cell types.Nucleic acids research · 2026Article
- Bipartite network models to design combination therapies in acute myeloid leukaemia.Nature communications · 2022Article
- Article
- Genome-to-phenome research in rats: progress and perspectives.International journal of biological sciences · 2021Review
- Can We Assume the Gene Expression Profile as a Proxy for Signaling Network Activity?Biomolecules · 2020Article
- Network Analysis Combining Proteomics and Metabolomics Reveals New Insights Into Early Responses ofFrontiers in plant science · 2020Article
- Biomarkers of Neurodegeneration and Precision Therapy in Retinal Disease.Frontiers in pharmacology · 2020Review
- Unsupervised Learning and Multipartite Network Models: A Promising Approach for Understanding Traditional Medicine.Frontiers in pharmacology · 2020Review
- Predicting protein functions by applying predicate logic to biomedical literature.BMC bioinformatics · 2019Article
- An in-silico approach for discovery of microRNA-TF regulation of DISC1 interactome mediating neuronal migration.NPJ systems biology and applications · 2019Article
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Authors and funding
4 authors.
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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.
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