Hall, BA;
Niarakis, A;
(2021)
Data integration in logic-based models of biological mechanisms.
Current Opinion in Systems Biology
, Article 100386. 10.1016/j.coisb.2021.100386.
(In press).
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Abstract
Discrete, logic-based models are increasingly used to describe biological mechanisms. Initially introduced to study gene regulation, these models evolved to cover various molecular mechanisms, such as signalling, transcription factor cooperativity, and even metabolic processes. The abstract nature and amenability of discrete models to robust mathematical analyses make them appropriate for addressing a wide range of complex biological problems. Recent technological breakthroughs have generated a wealth of high throughput data. Novel, literature-based representations of biological processes and emerging algorithms offer new opportunities for model construction. Here, we review up-to-date efforts to address challenging biological questions by incorporating omic data into logic-based models, and discuss critical difficulties in constructing and analysing integrative, large-scale, logic-based models of biological mechanisms.
| Type: | Article |
|---|---|
| Title: | Data integration in logic-based models of biological mechanisms |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.coisb.2021.100386 |
| Publisher version: | https://doi.org/10.1016/j.coisb.2021.100386 |
| Language: | English |
| Additional information: | This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Logic-based models, Boolean models, executable models, qualitative dynamical modelling, omic data integration, in silico simulations, formal verification |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10135378 |
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