Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory Networks
Molecular biology focuses on genes and their interactions at the transcription, regulation and protein level. Finding genes that cause certain behaviors can make therapeutic interventions more effective. Although biological tools can extract the genes and perform some analyses, without the help of c...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2010-01-01
|
| Series: | Biomedical Engineering and Computational Biology |
| Online Access: | https://doi.org/10.4137/BECB.S5594 |
| _version_ | 1798044131647291392 |
|---|---|
| author | Zahra Zamani Amirhossein Hajihosseini Ali Masoudi-Nejad |
| author_facet | Zahra Zamani Amirhossein Hajihosseini Ali Masoudi-Nejad |
| author_sort | Zahra Zamani |
| collection | DOAJ |
| description | Molecular biology focuses on genes and their interactions at the transcription, regulation and protein level. Finding genes that cause certain behaviors can make therapeutic interventions more effective. Although biological tools can extract the genes and perform some analyses, without the help of computational methods, deep insight of the genetic function and its effects will not occur. On the other hand, complex systems can be modeled by networks, introducing the main data as nodes and the links in-between as the transactions occurring within the network. Gene regulatory networks are examples that are modeled and analyzed in order to gain insight of their exact functions. Since a cell's specific functionality is greatly determined by the genes it expresses, translation or the act of converting mRNA to proteins is highly regulated by the control network that directs cellular activities. This paper briefly reviews the most important computational methods for analyzing, modeling and controlling the gene regulatory networks. |
| first_indexed | 2024-04-11T22:58:48Z |
| format | Article |
| id | doaj.art-d550f2ac48d340c980304f5e440f484e |
| institution | Directory Open Access Journal |
| issn | 1179-5972 |
| language | English |
| last_indexed | 2024-04-11T22:58:48Z |
| publishDate | 2010-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Biomedical Engineering and Computational Biology |
| spelling | doaj.art-d550f2ac48d340c980304f5e440f484e2022-12-22T03:58:16ZengSAGE PublishingBiomedical Engineering and Computational Biology1179-59722010-01-01210.4137/BECB.S5594Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory NetworksZahra Zamani0Amirhossein Hajihosseini1Ali Masoudi-Nejad2Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, and COE in Biomathematics, University of Tehran, Tehran, Iran.Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, and COE in Biomathematics, University of Tehran, Tehran, Iran.Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, and COE in Biomathematics, University of Tehran, Tehran, Iran.Molecular biology focuses on genes and their interactions at the transcription, regulation and protein level. Finding genes that cause certain behaviors can make therapeutic interventions more effective. Although biological tools can extract the genes and perform some analyses, without the help of computational methods, deep insight of the genetic function and its effects will not occur. On the other hand, complex systems can be modeled by networks, introducing the main data as nodes and the links in-between as the transactions occurring within the network. Gene regulatory networks are examples that are modeled and analyzed in order to gain insight of their exact functions. Since a cell's specific functionality is greatly determined by the genes it expresses, translation or the act of converting mRNA to proteins is highly regulated by the control network that directs cellular activities. This paper briefly reviews the most important computational methods for analyzing, modeling and controlling the gene regulatory networks.https://doi.org/10.4137/BECB.S5594 |
| spellingShingle | Zahra Zamani Amirhossein Hajihosseini Ali Masoudi-Nejad Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory Networks Biomedical Engineering and Computational Biology |
| title | Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory Networks |
| title_full | Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory Networks |
| title_fullStr | Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory Networks |
| title_full_unstemmed | Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory Networks |
| title_short | Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory Networks |
| title_sort | computational methodologies for analyzing modeling and controlling gene regulatory networks |
| url | https://doi.org/10.4137/BECB.S5594 |
| work_keys_str_mv | AT zahrazamani computationalmethodologiesforanalyzingmodelingandcontrollinggeneregulatorynetworks AT amirhosseinhajihosseini computationalmethodologiesforanalyzingmodelingandcontrollinggeneregulatorynetworks AT alimasoudinejad computationalmethodologiesforanalyzingmodelingandcontrollinggeneregulatorynetworks |