Now SABIO-RK includes direct submissions of STRENDA DB data.

STRENDA DB is a validation and storage system for enzyme function data that incorporates the STRENDA Guidelines. STRENDA stands for "Standards for Reporting Enzymology Data".

The aim of the STRENDA Guidelines is to improve the quality of data published in the scientific literature and to enable researchers to compare, evaluate, interpret and reproduce experimental research results published in the literature and databases.

Currently more than 50 international biochemistry journals already included the STRENDA Guidelines in their Instructions for Authors.

Details about STRENDA DB are published here.

SABIO-RK in de.NBI course


de.NBI course 'Tools for systems biology modeling and data management'
Date: April 24th-26th, 2018
Location: Magdeburg, Germany
Website: Tools for systems biology modeling and data management

New SABIO-RK paper


SABIO-RK update paper published in Database issue of Nucleic Acid Research:

More export formats supported


Besides SBML, SBBioPax and spreadsheet export, SABIO-RK supports now the export of kinetics data in a variety of additional formats including e.g. Matlab, BioPAX level 2 and level 3, DOT, Octave, XPP and SBGNML.

SABIO-RK in MetaNetX


MetaNetX integrated SABIO-RK and implemented cross-references to compounds and reactions in SABIO-RK.
MetaNetX is an online platform for accessing, analyzing and manipulating genome-scale metabolic networks as well as biochemical pathways.



COMBINE - de.NBI Tutorial: Modelling and Simulation Tools in Systems Biology

Dates: Sunday, August 6th, 2017
(9:00 - 18:00)

Location: BLacksburg, Virginia (USA)


This tutorial workshop is a satellite of the 18th International Conference on Systems Biology (ICSB). Participants will learn how to set up computer models of biological systems (e.g. metabolic or signalling networks) using experimental kinetic data and how to simulate them in different systems biology platforms. Hands-on sessions, lectures and software demonstrations will be included, providing attendees with the necessary skills to access experime ntal kinetics data from available resources, to assemble computer models with these data, and finally to simulate the generated models using simulation tools. Also handling and exchange of biological models based on existing community standards will be dem onstrated along with the basic principles of the underlying standard formats.