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GRiP: a computational tool to simulate transcription factor binding in prokaryotes
Motivation: Transcription factors (TFs) are proteins that regulate gene activity by binding to specific sites on the DNA. Understanding the way these molecules locate their target site is of great importance in understanding gene regulation. We developed a comprehensive computational model of this p...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338021/ https://www.ncbi.nlm.nih.gov/pubmed/22426343 http://dx.doi.org/10.1093/bioinformatics/bts132 |
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author | Zabet, Nicolae Radu Adryan, Boris |
author_facet | Zabet, Nicolae Radu Adryan, Boris |
author_sort | Zabet, Nicolae Radu |
collection | PubMed |
description | Motivation: Transcription factors (TFs) are proteins that regulate gene activity by binding to specific sites on the DNA. Understanding the way these molecules locate their target site is of great importance in understanding gene regulation. We developed a comprehensive computational model of this process and estimated the model parameters in (N.R.Zabet and B.Adryan, submitted for publication). Results: GRiP (gene regulation in prokaryotes) is a highly versatile implementation of this model and simulates the search process in a computationally efficient way. This program aims to provide researchers in the field with a flexible and highly customizable simulation framework. Its features include representation of DNA sequence, TFs and the interaction between TFs and the DNA (facilitated diffusion mechanism), or between various TFs (cooperative behaviour). The software will record both information on the dynamics associated with the search process (locations of molecules) and also steady-state results (affinity landscape, occupancy-bias and collision hotspots). Availability: http://logic.sysbiol.cam.ac.uk/grip, program and source code Contact: n.r.zabet@gen.cam.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-3338021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33380212012-04-27 GRiP: a computational tool to simulate transcription factor binding in prokaryotes Zabet, Nicolae Radu Adryan, Boris Bioinformatics Applications Note Motivation: Transcription factors (TFs) are proteins that regulate gene activity by binding to specific sites on the DNA. Understanding the way these molecules locate their target site is of great importance in understanding gene regulation. We developed a comprehensive computational model of this process and estimated the model parameters in (N.R.Zabet and B.Adryan, submitted for publication). Results: GRiP (gene regulation in prokaryotes) is a highly versatile implementation of this model and simulates the search process in a computationally efficient way. This program aims to provide researchers in the field with a flexible and highly customizable simulation framework. Its features include representation of DNA sequence, TFs and the interaction between TFs and the DNA (facilitated diffusion mechanism), or between various TFs (cooperative behaviour). The software will record both information on the dynamics associated with the search process (locations of molecules) and also steady-state results (affinity landscape, occupancy-bias and collision hotspots). Availability: http://logic.sysbiol.cam.ac.uk/grip, program and source code Contact: n.r.zabet@gen.cam.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2012-05-01 2012-03-16 /pmc/articles/PMC3338021/ /pubmed/22426343 http://dx.doi.org/10.1093/bioinformatics/bts132 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Zabet, Nicolae Radu Adryan, Boris GRiP: a computational tool to simulate transcription factor binding in prokaryotes |
title | GRiP: a computational tool to simulate transcription factor binding in prokaryotes |
title_full | GRiP: a computational tool to simulate transcription factor binding in prokaryotes |
title_fullStr | GRiP: a computational tool to simulate transcription factor binding in prokaryotes |
title_full_unstemmed | GRiP: a computational tool to simulate transcription factor binding in prokaryotes |
title_short | GRiP: a computational tool to simulate transcription factor binding in prokaryotes |
title_sort | grip: a computational tool to simulate transcription factor binding in prokaryotes |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338021/ https://www.ncbi.nlm.nih.gov/pubmed/22426343 http://dx.doi.org/10.1093/bioinformatics/bts132 |
work_keys_str_mv | AT zabetnicolaeradu gripacomputationaltooltosimulatetranscriptionfactorbindinginprokaryotes AT adryanboris gripacomputationaltooltosimulatetranscriptionfactorbindinginprokaryotes |