Kinetics of biochemical reactions are widely spread in scientific papers and repositories such as Sabio-RK. This information is extremely important for the study of cell signaling pathways; however, to the best of our knowledge, there is no method available to integrate pathways reactions topology data with kinetic data. Therefore, we propose here an integration of kinetic data stored in Sabio-RK to the Reactome graph database. That integration, called Anguix, can be deployed using a Python program and also can be easily accessed using Neo4J. We believe the Anguix graph database might contribute to the modeling of cell signaling pathways, by combining the completeness of Reactome with kinetic and quantitative data stored in Sabio-RK.Access ...
Rule-based modeling is a graph-based approach to specifying the kinetics of cell signaling\ud system...
To grasp the complexity of biological processes, the biological knowledge is often translated into s...
In silico models for biochemical systems are usually built by extracting in vitro kinetic expression...
Systems biology is an emerging field that aims at obtaining a system-level understanding of biologic...
Systems biology is an emerging field that aims at obtaining a system-level understanding of biologic...
Motivation: Analysis of cellular signaling interactions is expected to pose an enormous informatics ...
Motivation: Analysis of cellular signaling interactions is expected to pose an enormous informatics ...
One of the main challenges in the biomedical sciences is the determination of reaction mechanisms th...
Background: The size and complexity of published biochemical network reconstructions are steadily in...
Understanding networks of biological interactions is essential to all life sciences. Nowadays, a lar...
BackgroundThe size and complexity of published biochemical network reconstructions are steadily incr...
In past years, comprehensive representations of cell signalling pathways have been developed by manu...
Abstract Background Signal transduction is one of the most important biological processes by which c...
Background: The behaviour of biological systems can be deduced from their mathematical models. Howev...
Signaling pathways are responsible for the regulation of cell processes, such as monitoring the exte...
Rule-based modeling is a graph-based approach to specifying the kinetics of cell signaling\ud system...
To grasp the complexity of biological processes, the biological knowledge is often translated into s...
In silico models for biochemical systems are usually built by extracting in vitro kinetic expression...
Systems biology is an emerging field that aims at obtaining a system-level understanding of biologic...
Systems biology is an emerging field that aims at obtaining a system-level understanding of biologic...
Motivation: Analysis of cellular signaling interactions is expected to pose an enormous informatics ...
Motivation: Analysis of cellular signaling interactions is expected to pose an enormous informatics ...
One of the main challenges in the biomedical sciences is the determination of reaction mechanisms th...
Background: The size and complexity of published biochemical network reconstructions are steadily in...
Understanding networks of biological interactions is essential to all life sciences. Nowadays, a lar...
BackgroundThe size and complexity of published biochemical network reconstructions are steadily incr...
In past years, comprehensive representations of cell signalling pathways have been developed by manu...
Abstract Background Signal transduction is one of the most important biological processes by which c...
Background: The behaviour of biological systems can be deduced from their mathematical models. Howev...
Signaling pathways are responsible for the regulation of cell processes, such as monitoring the exte...
Rule-based modeling is a graph-based approach to specifying the kinetics of cell signaling\ud system...
To grasp the complexity of biological processes, the biological knowledge is often translated into s...
In silico models for biochemical systems are usually built by extracting in vitro kinetic expression...