[HTML][HTML] Boolean modelling as a logic-based dynamic approach in systems medicine

AA Hemedan, A Niarakis, R Schneider… - Computational and …, 2022 - Elsevier
Molecular mechanisms of health and disease are often represented as systems biology
diagrams, and the coverage of such representation constantly increases. These static …

Boolean dynamic modeling of cancer signaling networks: Prognosis, progression, and therapeutics

S Sherekar, GA Viswanathan - Computational and systems …, 2021 - Wiley Online Library
Cancer is a multifactorial disease. Aberrant functioning of the underlying complex signaling
network that orchestrates cellular response to external or internal cues governs incidence …

The CoLoMoTo interactive notebook: accessible and reproducible computational analyses for qualitative biological networks

A Naldi, C Hernandez, N Levy, G Stoll… - Frontiers in …, 2018 - frontiersin.org
Analysing models of biological networks typically relies on workflows in which different
software tools with sensitive parameters are chained together, many times with additional …

Gene regulatory networks exhibit several kinds of memory: Quantification of memory in biological and random transcriptional networks

S Biswas, S Manicka, E Hoel, M Levin - Iscience, 2021 - cell.com
Gene regulatory networks (GRNs) process important information in developmental biology
and biomedicine. A key knowledge gap concerns how their responses change over time …

Identification of control targets in Boolean molecular network models via computational algebra

D Murrugarra, A Veliz-Cuba, B Aguilar… - BMC systems …, 2016 - Springer
Background Many problems in biomedicine and other areas of the life sciences can be
characterized as control problems, with the goal of finding strategies to change a disease or …

A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer

J Gómez Tejeda Zañudo, M Scaltriti, R Albert - Cancer convergence, 2017 - Springer
Background Mechanistic models of within-cell signal transduction networks can explain how
these networks integrate internal and external inputs to give rise to the appropriate cellular …

Computing attractors of large-scale asynchronous Boolean networks using minimal trap spaces

VG Trinh, K Hiraishi, B Benhamou - Proceedings of the 13th ACM …, 2022 - dl.acm.org
Boolean Networks (BNs) play a crucial role in modeling, analyzing, and controlling
biological systems. One of the most important problems on BNs is to compute all the …

Taming asynchrony for attractor detection in large Boolean networks

A Mizera, J Pang, H Qu, Q Yuan - IEEE/ACM transactions on …, 2018 - ieeexplore.ieee.org
Boolean networks is a well-established formalism for modelling biological systems. A vital
challenge for analyzing a Boolean network is to identify all the attractors. This becomes …

[图书][B] Algorithms for analysis, inference, and control of Boolean networks

T Akutsu - 2018 - World Scientific
The Boolean network (BN) is a mathematical model of genetic networks and is based on
Boolean functions. Boolean functions are functions on the Boolean domain that consists of …

Phenotype Control techniques for Boolean gene regulatory networks

D Plaugher, D Murrugarra - Bulletin of mathematical biology, 2023 - Springer
Modeling cell signal transduction pathways via Boolean networks (BNs) has become an
established method for analyzing intracellular communications over the last few decades …