News

SABIO-RK in BKMS-react

02-21-2017

As of January 2017 SABIO-RK reactions are added in the biochemical reaction database BKMS-react.

BKMS-react is an integrated and nonredundant biochemical reaction database containing known enzyme-catalyzed and spontaneous reactions. Biochemical reactions collected from BRENDA, KEGG, MetaCyc and SABIO-RK were matched and integrated by aligning substrates and products.


Please evaluate SABIO-RK!

01-22-2017

SABIO-RK is part of the German Network for Bioinformatics Infrastructure de.NBI which provides comprehensive first-class bioinformatics services to users in life sciences research, industry and medicine.
In order to improve our SABIO-RK services as well as de.NBI services in general, we offer the possibility to provide user feedback.

Please go to the SABIO-RK evaluation page!

The submitted information will be stored and handled anonymously.


SABIO-RK mailing list

07-21-2016

Please join the SABIO-RK Google Groups mailing list for getting SABIO-RK news or contacting us, along with other users available at groups.google.com/d/forum/sabio-rk.


SABIO-RK at ICSB2016

07-13-2016

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


Dates: Friday, September 16th, 2016
(8:30 - 13:30)

Location: Barcelona, Spain

Hosted by: HITS - Heidelberg Institute for Theoretical Studies

Website: http://co.mbine.org/events/tutorial2016

This tutorial workshop is a satellite of the 17th 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 experimental 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 demonstrated along with the basic principles of the underlying standard formats.

The topics will include:
- Model setup using different software tools and systems biology platforms
- Using experimental data for setting up quantitative models
- Parameter estimation, optimization and model fitting
- Simulation, analysis and visualization of biochemical models
- Database supported modelling: integrated data management and model databases
- Community standards and formats for systems biology models