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"Antelope": a hybrid-logic model checker for branching-time Boolean GRN analysis
BACKGROUND: In Thomas' formalism for modeling gene regulatory networks (GRNs), branching time, where a state can have more than one possible future, plays a prominent role. By representing a certain degree of unpredictability, branching time can model several important phenomena, such as (a) as...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3316443/ https://www.ncbi.nlm.nih.gov/pubmed/22192526 http://dx.doi.org/10.1186/1471-2105-12-490 |
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author | Arellano, Gustavo Argil, Julián Azpeitia, Eugenio Benítez, Mariana Carrillo, Miguel Góngora, Pedro Rosenblueth, David A Alvarez-Buylla, Elena R |
author_facet | Arellano, Gustavo Argil, Julián Azpeitia, Eugenio Benítez, Mariana Carrillo, Miguel Góngora, Pedro Rosenblueth, David A Alvarez-Buylla, Elena R |
author_sort | Arellano, Gustavo |
collection | PubMed |
description | BACKGROUND: In Thomas' formalism for modeling gene regulatory networks (GRNs), branching time, where a state can have more than one possible future, plays a prominent role. By representing a certain degree of unpredictability, branching time can model several important phenomena, such as (a) asynchrony, (b) incompletely specified behavior, and (c) interaction with the environment. Introducing more than one possible future for a state, however, creates a difficulty for ordinary simulators, because infinitely many paths may appear, limiting ordinary simulators to statistical conclusions. Model checkers for branching time, by contrast, are able to prove properties in the presence of infinitely many paths. RESULTS: We have developed Antelope ("Analysis of Networks through TEmporal-LOgic sPEcifications", http://turing.iimas.unam.mx:8080/AntelopeWEB/), a model checker for analyzing and constructing Boolean GRNs. Currently, software systems for Boolean GRNs use branching time almost exclusively for asynchrony. Antelope, by contrast, also uses branching time for incompletely specified behavior and environment interaction. We show the usefulness of modeling these two phenomena in the development of a Boolean GRN of the Arabidopsis thaliana root stem cell niche. There are two obstacles to a direct approach when applying model checking to Boolean GRN analysis. First, ordinary model checkers normally only verify whether or not a given set of model states has a given property. In comparison, a model checker for Boolean GRNs is preferable if it reports the set of states having a desired property. Second, for efficiency, the expressiveness of many model checkers is limited, resulting in the inability to express some interesting properties of Boolean GRNs. Antelope tries to overcome these two drawbacks: Apart from reporting the set of all states having a given property, our model checker can express, at the expense of efficiency, some properties that ordinary model checkers (e.g., NuSMV) cannot. This additional expressiveness is achieved by employing a logic extending the standard Computation-Tree Logic (CTL) with hybrid-logic operators. CONCLUSIONS: We illustrate the advantages of Antelope when (a) modeling incomplete networks and environment interaction, (b) exhibiting the set of all states having a given property, and (c) representing Boolean GRN properties with hybrid CTL. |
format | Online Article Text |
id | pubmed-3316443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33164432012-04-02 "Antelope": a hybrid-logic model checker for branching-time Boolean GRN analysis Arellano, Gustavo Argil, Julián Azpeitia, Eugenio Benítez, Mariana Carrillo, Miguel Góngora, Pedro Rosenblueth, David A Alvarez-Buylla, Elena R BMC Bioinformatics Software BACKGROUND: In Thomas' formalism for modeling gene regulatory networks (GRNs), branching time, where a state can have more than one possible future, plays a prominent role. By representing a certain degree of unpredictability, branching time can model several important phenomena, such as (a) asynchrony, (b) incompletely specified behavior, and (c) interaction with the environment. Introducing more than one possible future for a state, however, creates a difficulty for ordinary simulators, because infinitely many paths may appear, limiting ordinary simulators to statistical conclusions. Model checkers for branching time, by contrast, are able to prove properties in the presence of infinitely many paths. RESULTS: We have developed Antelope ("Analysis of Networks through TEmporal-LOgic sPEcifications", http://turing.iimas.unam.mx:8080/AntelopeWEB/), a model checker for analyzing and constructing Boolean GRNs. Currently, software systems for Boolean GRNs use branching time almost exclusively for asynchrony. Antelope, by contrast, also uses branching time for incompletely specified behavior and environment interaction. We show the usefulness of modeling these two phenomena in the development of a Boolean GRN of the Arabidopsis thaliana root stem cell niche. There are two obstacles to a direct approach when applying model checking to Boolean GRN analysis. First, ordinary model checkers normally only verify whether or not a given set of model states has a given property. In comparison, a model checker for Boolean GRNs is preferable if it reports the set of states having a desired property. Second, for efficiency, the expressiveness of many model checkers is limited, resulting in the inability to express some interesting properties of Boolean GRNs. Antelope tries to overcome these two drawbacks: Apart from reporting the set of all states having a given property, our model checker can express, at the expense of efficiency, some properties that ordinary model checkers (e.g., NuSMV) cannot. This additional expressiveness is achieved by employing a logic extending the standard Computation-Tree Logic (CTL) with hybrid-logic operators. CONCLUSIONS: We illustrate the advantages of Antelope when (a) modeling incomplete networks and environment interaction, (b) exhibiting the set of all states having a given property, and (c) representing Boolean GRN properties with hybrid CTL. BioMed Central 2011-12-22 /pmc/articles/PMC3316443/ /pubmed/22192526 http://dx.doi.org/10.1186/1471-2105-12-490 Text en Copyright © 2011 Arellano et al.; licensee BioMed Central Ltd. https://creativecommons.org/licenses/by/2.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0 (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Arellano, Gustavo Argil, Julián Azpeitia, Eugenio Benítez, Mariana Carrillo, Miguel Góngora, Pedro Rosenblueth, David A Alvarez-Buylla, Elena R "Antelope": a hybrid-logic model checker for branching-time Boolean GRN analysis |
title | "Antelope": a hybrid-logic model checker for branching-time Boolean GRN analysis |
title_full | "Antelope": a hybrid-logic model checker for branching-time Boolean GRN analysis |
title_fullStr | "Antelope": a hybrid-logic model checker for branching-time Boolean GRN analysis |
title_full_unstemmed | "Antelope": a hybrid-logic model checker for branching-time Boolean GRN analysis |
title_short | "Antelope": a hybrid-logic model checker for branching-time Boolean GRN analysis |
title_sort | "antelope": a hybrid-logic model checker for branching-time boolean grn analysis |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3316443/ https://www.ncbi.nlm.nih.gov/pubmed/22192526 http://dx.doi.org/10.1186/1471-2105-12-490 |
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