BioMOL: A computer-assisted biological modeling tool for complex chemical mixtures and biological processes at the molecular level

Michael T. Klein, Gang Hou, Richard J. Quann, Wei Wei, Kai H. Liao, Raymond S.H. Yang*, Julie A. Campain, Monica A. Mazurek, Linda J. Broadbelt

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

30 Scopus citations


A chemical engineering approach for the rigorous construction, solution, and optimization of detailed kinetic models for biological process is described. This modeling capability addresses the required technical components of detailed kinetic modelic, namely, the modeling of reactant structure and composition, the building of the reaction network, the organization of model parameters, the solutions 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 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-oreinted lumping. BioMOL can build a detailed model in 1-1,000 CPU sec using standard desktop hardware. The model 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.

Original languageEnglish (US)
Pages (from-to)1025-1029
Number of pages5
JournalEnvironmental health perspectives
Issue numberSUPPL. 6
StatePublished - Dec 1 2002


  • Computer
  • Kinetics
  • Modeling
  • Software
  • Toxicology

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis


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