Hybrid modelling of biological systems: current progress and future prospects

Fei Liu; Monika Heiner; David Gilbert

doi:10.1093/bib/bbac081

Hybrid modelling of biological systems: current progress and future prospects

Brief Bioinform. 2022 May 13;23(3):bbac081. doi: 10.1093/bib/bbac081.

Authors

Fei Liu¹, Monika Heiner², David Gilbert³

Affiliations

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

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.

Keywords: biological modelling; hybrid modelling; modelling formalisms.

Publication types

Review
Research Support, Non-U.S. Gov't

MeSH terms

Models, Biological*
Systems Biology*