title: BioMOL: a computer-assisted biological modeling tool for complex chemical mixtures and biological processes at the molecular level.
abstract: A chemical engineering approach for the rigorous construction, solution, and optimization of detailed kinetic models for biological processes is described. This modeling capability addresses the required technical components of detailed kinetic modeling, namely, the modeling of reactant structure and composition, the building of the reaction network, the organization of model parameters, the solution of the kinetic model, and the optimization of the model. Even though this modeling approach has enjoyed successful application in the petroleum industry, its application to biomedical research has just begun. We propose to expand the horizons on classic pharmacokinetics and physiologically based pharmacokinetics (PBPK), where human or animal bodies were often described by a few compartments, by integrating PBPK with reaction network modeling described in this article. If one draws a parallel between an oil refinery, where the application of this modeling approach has been very successful, and a human body, the individual processing units in the oil refinery may be considered equivalent to the vital organs of the human body. Even though the cell or organ may be much more complicated, the complex biochemical reaction networks in each organ may be similarly modeled and linked in much the same way as the modeling of the entire oil refinery through linkage of the individual processing units. The integrated chemical engineering software package described in this article, BioMOL, denotes the biological application of molecular-oriented lumping. BioMOL can build a detailed model in 1-1,000 CPU sec using standard desktop hardware. The models solve and optimize using standard and widely available hardware and software and can be presented in the context of a user-friendly interface. We believe this is an engineering tool with great promise in its application to complex biological reaction networks.
authors.affiliation: Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
authors.forename: Michael T
authors.initials: MT
authors.lastname: Klein
authors.forename: Gang
authors.initials: G
authors.lastname: Hou
authors.forename: Richard J
authors.initials: RJ
authors.lastname: Quann
authors.forename: Wei
authors.initials: W
authors.lastname: Wei
authors.forename: Kai H
authors.initials: KH
authors.lastname: Liao
authors.forename: Raymond S H
authors.initials: RS
authors.lastname: Yang
authors.forename: Julie A
authors.initials: JA
authors.lastname: Campain
authors.forename: Monica A
authors.initials: MA
authors.lastname: Mazurek
authors.forename: Linda J
authors.initials: LJ
authors.lastname: Broadbelt
mesh_terms: D000818:Animals; D002616:Chemical Engineering; D003198:Computer Simulation; D003201:Computers; D004347:Drug Interactions; D004785:Environmental Pollutants / Q000009:adverse effects* / Q000493:pharmacokinetics*; D006801:Humans; D007700:Kinetics; D015394:Molecular Structure; D010599:Pharmacokinetics; D012984:Software; D014584:User-Computer Interface; D015262:Xenobiotics / Q000009:adverse effects* / Q000493:pharmacokinetics*
chemical_list: D004785:Environmental Pollutants; D015262:Xenobiotics