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.
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http://dx.doi.org/10.1098/rsif.2023.0019 | DOI Listing |
Form Methods Syst Des
April 2022
Institute for Algebra, Johannes Kepler University, Linz, Austria.
Unlabelled: Automated reasoning techniques based on computer algebra have seen renewed interest in recent years and are for example heavily used in formal verification of arithmetic circuits. However, the verification process might contain errors. Generating and checking proof certificates is important to increase the trust in automated reasoning tools.
View Article and Find Full Text PDFCogn Sci
December 2024
Department of Psychology, Maynooth University.
People are generally more accurate at categorizing objects at the basic level (e.g., dog) than at more general, superordinate categories (e.
View Article and Find Full Text PDFPeerJ Comput Sci
October 2024
School of Information Science and Technology, Northeast Normal University, Changchun, China.
Electronic examination serves as an efficient method for assessing learning outcomes, yet the integration of computers into exam processes introduces potential for unreliability. In this article, we propose a formal model for electronic examinations using timed automata, providing a structured approach to understanding and managing the complexities. The electronic examination process is modeled by defining four UPPAAL templates, .
View Article and Find Full Text PDFCancer Med
December 2024
Laboratoire de Génie Industriel, CentraleSupélec-Paris-Saclay Campus, Gif Sur Yvette, France.
Front Mol Biosci
November 2024
School of Interdisciplinary Engineering and Sciences (SINES), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
Hypoxia-inducible factor-1 (HIF-1) regulates cell growth, protein translation, metabolic pathways and therefore, has been advocated as a promising biological target for the therapeutic interventions against cancer. In general, hyperactivation of HIF-1 in cancer has been associated with increases in the expression of glucose transporter type-1 (GLUT-1) thus, enhancing glucose consumption and hyperactivating metabolic pathways. The collective behavior of GLUT-1 along with previously known key players AKT, OGT, and VEGF is not fully characterized and lacks clarity of how glucose uptake through this pathway (HIF-1) probes the cancer progression.
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