Verifiable biology

Author:

Konur Savas1ORCID,Gheorghe Marian1,Krasnogor Natalio2ORCID

Affiliation:

1. Department of Computer Science, University of Bradford, Richmond Building, Bradford BD7 1DP, UK

2. School of Computing Science, Newcastle University, Science Square, Newcastle upon Tyne NE4 5TG, UK

Abstract

The formalization of biological systems using computational modelling approaches as an alternative to mathematical-based methods has recently received much interest because computational models provide a deeper mechanistic understanding of biological systems. In particular, formal verification, complementary approach to standard computational techniques such as simulation, is used to validate the system correctness and obtain critical information about system behaviour. In this study, we survey the most frequently used computational modelling approaches and formal verification techniques for computational biology. We compare a number of verification tools and software suites used to analyse biological systems and biochemical networks, and to verify a wide range of biological properties. For users who have no expertise in formal verification, we present a novel methodology that allows them to easily apply formal verification techniques to analyse their biological or biochemical system of interest.

Funder

Engineering and Physical Sciences Research Council

Royal Society

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

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