TY - GEN A1 - Liu, Fei A1 - Sun, Wujie A1 - Heiner, Monika A1 - Gilbert, David T1 - Hybrid modelling of biological systems using fuzzy continuous Petri nets T2 - Briefings in Bioinformatics N2 - Integrated modelling of biological systems is challenged by composing components with sufficient kinetic data and components with insufficient kinetic data or components built only using experts’ experience and knowledge. Fuzzy continuous Petri nets (FCPNs) combine continuous Petri nets with fuzzy inference systems, and thus offer an hybrid uncertain/certain approach to integrated modelling of such biological systems with uncertainties. In this paper, we give a formal definition and a corresponding simulation algorithm of FCPNs, and briefly introduce the FCPN tool that we have developed for implementing FCPNs. We then present a methodology and workflow utilizing FCPNs to achieve hybrid (uncertain/certain) modelling of biological systems illustrated with a case study of the Mercaptopurine metabolic pathway. We hope this research will promote the wider application of FCPNs and address the uncertain/certain integrated modelling challenge in the systems biology area. KW - systems biology KW - integrated modelling KW - fuzzy continuous Petri nets KW - uncertainties KW - hybrid simulation Y1 - 2019 U6 - https://doi.org/10.1093/bib/bbz114 VL - 22(2021) SP - 438 EP - 450 ER -