title: optPBN: an optimisation toolbox for probabilistic Boolean networks.
abstract: BACKGROUND
  There exist several computational tools which allow for the optimisation and inference of biological networks using a Boolean formalism. Nevertheless, the results from such tools yield only limited quantitative insights into the complexity of biological systems because of the inherited qualitative nature of Boolean networks.
  
  
  RESULTS
  We introduce optPBN, a Matlab-based toolbox for the optimisation of probabilistic Boolean networks (PBN) which operates under the framework of the BN/PBN toolbox. optPBN offers an easy generation of probabilistic Boolean networks from rule-based Boolean model specification and it allows for flexible measurement data integration from multiple experiments. Subsequently, optPBN generates integrated optimisation problems which can be solved by various optimisers. In term of functionalities, optPBN allows for the construction of a probabilistic Boolean network from a given set of potential constitutive Boolean networks by optimising the selection probabilities for these networks so that the resulting PBN fits experimental data. Furthermore, the optPBN pipeline can also be operated on large-scale computational platforms to solve complex optimisation problems. Apart from exemplary case studies which we correctly inferred the original network, we also successfully applied optPBN to study a large-scale Boolean model of apoptosis where it allows identifying the inverse correlation between UVB irradiation, NFκB and Caspase 3 activations, and apoptosis in primary hepatocytes quantitatively. Also, the results from optPBN help elucidating the relevancy of crosstalk interactions in the apoptotic network.
  
  
  CONCLUSIONS
  The optPBN toolbox provides a simple yet comprehensive pipeline for integrated optimisation problem generation in the PBN formalism that can readily be solved by various optimisers on local or grid-based computational platforms. optPBN can be further applied to various biological studies such as the inference of gene regulatory networks or the identification of the interaction's relevancy in signal transduction networks.
authors.affiliation: Systems Biology Group, Life Sciences Research Unit, University of Luxembourg, Luxembourg, Luxembourg.
authors.forename: Panuwat
authors.initials: P
authors.lastname: Trairatphisan
authors.affiliation: Computer Science and Communications Research Unit, University of Luxembourg, Luxembourg, Luxembourg.
authors.forename: Andrzej
authors.initials: A
authors.lastname: Mizera
authors.affiliation: Computer Science and Communications Research Unit, University of Luxembourg, Luxembourg, Luxembourg; Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg, Luxembourg.
authors.forename: Jun
authors.initials: J
authors.lastname: Pang
authors.affiliation: Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg, Luxembourg.
authors.forename: Alexandru Adrian
authors.initials: AA
authors.lastname: Tantar
authors.affiliation: Systems Biology Group, Life Sciences Research Unit, University of Luxembourg, Luxembourg, Luxembourg.
authors.forename: Thomas
authors.initials: T
authors.lastname: Sauter
mesh_terms: D000818:Animals; D017209:Apoptosis / Q000528:radiation effects*; D053148:Caspase 3 / Q000378:metabolism; D006801:Humans; D008954:Models, Biological; D016328:NF-kappa B / Q000378:metabolism; D012984:Software; D014466:Ultraviolet Rays
chemical_list: D016328:NF-kappa B; C505407:CASP3 protein, human; D053148:Caspase 3