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Colored petri net modeling of small interfering RNA-mediated messenger RNA degradation
BACKGROUND: Mathematical modeling of biological systems is an attractive way for studying complex biological systems and their behaviors. Petri Nets, due to their ability to model systems with various levels of qualitative information, have been wildly used in modeling biological systems in which en...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4918215/ https://www.ncbi.nlm.nih.gov/pubmed/27376039 http://dx.doi.org/10.4103/2277-9175.183660 |
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author | Nickaeen, Niloofar Moein, Shiva Heidary, Zarifeh Ghaisari, Jafar |
author_facet | Nickaeen, Niloofar Moein, Shiva Heidary, Zarifeh Ghaisari, Jafar |
author_sort | Nickaeen, Niloofar |
collection | PubMed |
description | BACKGROUND: Mathematical modeling of biological systems is an attractive way for studying complex biological systems and their behaviors. Petri Nets, due to their ability to model systems with various levels of qualitative information, have been wildly used in modeling biological systems in which enough qualitative data may not be at disposal. These nets have been used to answer questions regarding the dynamics of different cell behaviors including the translation process. In one stage of the translation process, the RNA sequence may be degraded. In the process of degradation of RNA sequence, small-noncoding RNA molecules known as small interfering RNA (siRNA) match the target RNA sequence. As a result of this matching, the target RNA sequence is destroyed. MATERIALS AND METHODS: In this context, the process of matching and destruction is modeled using Colored Petri Nets (CPNs). The model is constructed using CPNs which allow tokens to have a value or type on them. Thus, CPN is a suitable tool to model string structures in which each element of the string has a different type. Using CPNs, long RNA, and siRNA strings are modeled with a finite set of colors. The model is simulated via CPN Tools. RESULTS: A CPN model of the matching between RNA and siRNA strings is constructed in CPN Tools environment. CONCLUSION: In previous studies, a network of stoichiometric equations was modeled. However, in this particular study, we modeled the mechanism behind the silencing process. Modeling this kind of mechanisms provides us with a tool to examine the effects of different factors such as mutation or drugs on the process. |
format | Online Article Text |
id | pubmed-4918215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-49182152016-07-01 Colored petri net modeling of small interfering RNA-mediated messenger RNA degradation Nickaeen, Niloofar Moein, Shiva Heidary, Zarifeh Ghaisari, Jafar Adv Biomed Res Original Article BACKGROUND: Mathematical modeling of biological systems is an attractive way for studying complex biological systems and their behaviors. Petri Nets, due to their ability to model systems with various levels of qualitative information, have been wildly used in modeling biological systems in which enough qualitative data may not be at disposal. These nets have been used to answer questions regarding the dynamics of different cell behaviors including the translation process. In one stage of the translation process, the RNA sequence may be degraded. In the process of degradation of RNA sequence, small-noncoding RNA molecules known as small interfering RNA (siRNA) match the target RNA sequence. As a result of this matching, the target RNA sequence is destroyed. MATERIALS AND METHODS: In this context, the process of matching and destruction is modeled using Colored Petri Nets (CPNs). The model is constructed using CPNs which allow tokens to have a value or type on them. Thus, CPN is a suitable tool to model string structures in which each element of the string has a different type. Using CPNs, long RNA, and siRNA strings are modeled with a finite set of colors. The model is simulated via CPN Tools. RESULTS: A CPN model of the matching between RNA and siRNA strings is constructed in CPN Tools environment. CONCLUSION: In previous studies, a network of stoichiometric equations was modeled. However, in this particular study, we modeled the mechanism behind the silencing process. Modeling this kind of mechanisms provides us with a tool to examine the effects of different factors such as mutation or drugs on the process. Medknow Publications & Media Pvt Ltd 2016-06-08 /pmc/articles/PMC4918215/ /pubmed/27376039 http://dx.doi.org/10.4103/2277-9175.183660 Text en Copyright: © 2016 Advanced Biomedical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Nickaeen, Niloofar Moein, Shiva Heidary, Zarifeh Ghaisari, Jafar Colored petri net modeling of small interfering RNA-mediated messenger RNA degradation |
title | Colored petri net modeling of small interfering RNA-mediated messenger RNA degradation |
title_full | Colored petri net modeling of small interfering RNA-mediated messenger RNA degradation |
title_fullStr | Colored petri net modeling of small interfering RNA-mediated messenger RNA degradation |
title_full_unstemmed | Colored petri net modeling of small interfering RNA-mediated messenger RNA degradation |
title_short | Colored petri net modeling of small interfering RNA-mediated messenger RNA degradation |
title_sort | colored petri net modeling of small interfering rna-mediated messenger rna degradation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4918215/ https://www.ncbi.nlm.nih.gov/pubmed/27376039 http://dx.doi.org/10.4103/2277-9175.183660 |
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