Mining enzyme data in UniProtKB using Rhea - postponed

Date 22 October 2021
Speaker(s) Anne Morgat, Elisabeth Gasteiger, Marie-Claude Blatter
ECTS 0.25
Fees *academic: 60 CHF   -   for-profit: 300 CHF
Cancellation deadline 15 Oct 2021
City Streamed from Grenoble and Geneva
*academic fee includes non for-profit organisations as well as unemployed participants at the time of application.

This course has been postponed to 2022.


Rhea is an expert-curated knowledgebase of chemical and transport reactions of biological interest and the standard for enzyme and transporter annotation in UniProtKB. Rhea uses the chemical dictionary ChEBI (Chemical Entities of Biological Interest) to describe reaction participants. Rhea provides computationally tractable enzyme annotations in UniProtKB that support chemical ontology and structure based searches in the UniProt website, REST API, and SPARQL endpoint. Rhea also provides reaction data for a host of other resources including ChEBI, MetaboLights, Reactome, and The Gene Ontology, which now bases enzyme molecular functions on Rhea. Rhea and UniProtKB are SIB resources; they are listed in Expasy, the Swiss Bioinformatics Portal.

The goal of this course and the practical exercises is to provide basic theoretical and practical knowledge that will enable participants to mine enzyme data in UniProtKB using chemical structure data and chemical classifications from Rhea and ChEBI.


This course is addressed to biologists, bioinformaticians, cheminformaticians, programmers and data scientists working with enzyme and small molecule data, including those working with metabolomics data and metabolic networks.

Learning outcomes

At the end of the course, the participants are expected to:

  • have acquired a good understanding of the structure and design of the chemical ontology ChEBI and the reaction knowledgebase Rhea, and how they are used in UniProtKB annotation
  • be able to search UniProtKB and Rhea using chemical ontology terms and chemical structures - including exact chemical structure searches, as well as substructure and similarity searches, using interactive and programmatic means (REST API and SPARQL).
  • have acquired a basic understanding of how to use RDF and SPARQL for integration of chemical and biological data in UniProt with other key knowledgebases and data repositories providing RDF and SPARQL endpoints.


Knowledge / competencies

This course is designed for beginners with a basic knowledge of biology and chemistry.


This course will be streamed, you are thus required to have your own computer with an Internet connection.


The registration fees for academics are 60 CHF and 300 CHF for for-profit companies.

You will be informed by email of your registration confirmation. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.

Deadline for free-of-charge cancellation is set to 15/10/2021. Cancellation after this date will not be reimbursed. Please note that participation in SIB courses is subject to our general conditions.

Venue and Time

This course will be streamed using Zoom.

The course will start at 9:00 CET and end around 17:00 CET. Precise information will be provided to the participants in due time.

Additional information

Coordination: Monique Zahn, SIB training group.

We will recommend 0.25 ECTS credits for this course (given a passed exam at the end of the course).

You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.

Please note that participation in SIB courses is subject to our general conditions.

SIB abides by the ELIXIR Code of Conduct. Participants of SIB courses are also required to abide by the same code.

For more information, please contact