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Quantitative and logic modelling of molecular and gene networks
N Le Novere - Nature Reviews Genetics, 2015 - nature.com
Behaviours of complex biomolecular systems are often irreducible to the elementary
properties of their individual components. Explanatory and predictive mathematical models …
properties of their individual components. Explanatory and predictive mathematical models …
The BioPAX community standard for pathway data sharing
Abstract Biological Pathway Exchange (BioPAX) is a standard language to represent
biological pathways at the molecular and cellular level and to facilitate the exchange of …
biological pathways at the molecular and cellular level and to facilitate the exchange of …
[ספר][B] Stochastic modelling for systems biology
DJ Wilkinson - 2018 - taylorfrancis.com
Since the first edition of Stochastic Modelling for Systems Biology, there have been many
interesting developments in the use of" likelihood-free" methods of Bayesian inference for …
interesting developments in the use of" likelihood-free" methods of Bayesian inference for …
Computational modeling, formal analysis, and tools for systems biology
As the amount of biological data in the public domain grows, so does the range of modeling
and analysis techniques employed in systems biology. In recent years, a number of …
and analysis techniques employed in systems biology. In recent years, a number of …
Automated adaptive inference of phenomenological dynamical models
Dynamics of complex systems is often driven by large and intricate networks of microscopic
interactions, whose sheer size obfuscates understanding. With limited experimental data …
interactions, whose sheer size obfuscates understanding. With limited experimental data …
Physicochemical modelling of cell signalling pathways
Physicochemical modelling of signal transduction links fundamental chemical and physical
principles, prior knowledge about regulatory pathways, and experimental data of various …
principles, prior knowledge about regulatory pathways, and experimental data of various …
Rule-based modeling of biochemical systems with BioNetGen
Rule-based modeling involves the representation of molecules as structured objects and
molecular interactions as rules for transforming the attributes of these objects. The approach …
molecular interactions as rules for transforming the attributes of these objects. The approach …
Measuring and modeling apoptosis in single cells
Cell death plays an essential role in the development of tissues and organisms, the etiology
of disease, and the responses of cells to therapeutic drugs. Here we review progress made …
of disease, and the responses of cells to therapeutic drugs. Here we review progress made …
Programming biological models in Python using PySB
Mathematical equations are fundamental to modeling biological networks, but as networks
get large and revisions frequent, it becomes difficult to manage equations directly or to …
get large and revisions frequent, it becomes difficult to manage equations directly or to …
Efficient modeling, simulation and coarse-graining of biological complexity with NFsim
Managing the overwhelming numbers of molecular states and interactions is a fundamental
obstacle to building predictive models of biological systems. Here we introduce the Network …
obstacle to building predictive models of biological systems. Here we introduce the Network …