Systems biology is an emerging field that aims at obtaining a system-level understanding of biological processes. The modelling and simulation of networks of biochemical reactions have great and promising application potential but require reliable kinetic data. In order to support the systems biology community with such data we have developed SABIO-RK (System for the Analysis of Biochemical Pathways- Reaction Kinetics), a curated database with information about biochemical reactions and their kinetic properties, which allows researchers to obtain and compare kinetic data and to integrate them into models of biochemical networks. SABIO-RK is freely available for academic use a
A limited number of publicly available resources provide access to enzyme kinetic parameters. These ...
In this paper, we propose a new method to identify biochemical reaction networks (i.e. both reaction...
Mechanistic (also called kinetic) models quantitatively describe dynamic and steady states of bioche...
Systems biology is an emerging field that aims at obtaining a system-level understanding of biologic...
AbstractSABIO-RK (http://sabio.h-its.org/) is a web-accessible, manually curated database that has b...
There are a number of resources containing enzyme kinetics data. Two widely used data-bases are BREN...
BackgroundThe size and complexity of published biochemical network reconstructions are steadily incr...
Background: The behaviour of biological systems can be deduced from their mathematical models. Howev...
Background: The size and complexity of published biochemical network reconstructions are steadily in...
Kinetics of biochemical reactions are widely spread in scientific papers and repositories such as Sa...
Abstract Background The behaviour of biological systems can be deduced from their mathematical model...
One of the main challenges in the biomedical sciences is the determination of reaction mechanisms th...
The modelling of chemical and biochemical systems is highly dependent on the reaction network of the...
A limited number of publicly available resources provide access to enzyme kinetic parameters. These ...
In silico models for biochemical systems are usually built by extracting in vitro kinetic expression...
A limited number of publicly available resources provide access to enzyme kinetic parameters. These ...
In this paper, we propose a new method to identify biochemical reaction networks (i.e. both reaction...
Mechanistic (also called kinetic) models quantitatively describe dynamic and steady states of bioche...
Systems biology is an emerging field that aims at obtaining a system-level understanding of biologic...
AbstractSABIO-RK (http://sabio.h-its.org/) is a web-accessible, manually curated database that has b...
There are a number of resources containing enzyme kinetics data. Two widely used data-bases are BREN...
BackgroundThe size and complexity of published biochemical network reconstructions are steadily incr...
Background: The behaviour of biological systems can be deduced from their mathematical models. Howev...
Background: The size and complexity of published biochemical network reconstructions are steadily in...
Kinetics of biochemical reactions are widely spread in scientific papers and repositories such as Sa...
Abstract Background The behaviour of biological systems can be deduced from their mathematical model...
One of the main challenges in the biomedical sciences is the determination of reaction mechanisms th...
The modelling of chemical and biochemical systems is highly dependent on the reaction network of the...
A limited number of publicly available resources provide access to enzyme kinetic parameters. These ...
In silico models for biochemical systems are usually built by extracting in vitro kinetic expression...
A limited number of publicly available resources provide access to enzyme kinetic parameters. These ...
In this paper, we propose a new method to identify biochemical reaction networks (i.e. both reaction...
Mechanistic (also called kinetic) models quantitatively describe dynamic and steady states of bioche...