Hybrid modelling of biological systems: current progress and future prospects

Author:

Liu Fei1,Heiner Monika2,Gilbert David3

Affiliation:

1. School of Software Engineering, South China University of Technology, Guangzhou 510006, P.R. China

2. Department of Computer Science, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus 03046, Germany

3. Department of Computer Science, Brunel University London, Middlesex UB8 3PH, UK

Abstract

Abstract Integrated modelling of biological systems is becoming a necessity for constructing models containing the major biochemical processes of such systems in order to obtain a holistic understanding of their dynamics and to elucidate emergent behaviours. Hybrid modelling methods are crucial to achieve integrated modelling of biological systems. This paper reviews currently popular hybrid modelling methods, developed for systems biology, mainly revealing why they are proposed, how they are formed from single modelling formalisms and how to simulate them. By doing this, we identify future research requirements regarding hybrid approaches for further promoting integrated modelling of biological systems.

Funder

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

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