Protein regulatory relationships in COVID19

Published: 25 Apr 2020 | Version 2 | DOI: 10.17632/3pm7yy4xj9.2

Description of this data

This dataset was extracted from the Elsevier Pathway Studio, a tool that helps scientists analyze experimental data to answer biologically meaningful questions. The dataset itself consists of biological relationships between diseases (MERS and SARS), proteins and molecules. The relationships are of various types including Regulation, Target, Molecular Transport, etc. You can find a mapping of the relationship name to a description on this support page:

The source of these relationships are life sciences and biomedical articles, from various publishers. We make use of taxonomies, curated and maintained by subject matter experts, to extract the right terms from text and map them to the correct identifiers. Subject matter experts have also helped us create the rules and information extraction patterns to optimize the extraction of relationships from text.

At last, the pubmed identifiers from which the relationships were extracted are also part of the dataset.
The .cypher and .json files can be imported into the graph database neo4j. The .csv files can be used to import into other systems.

Experiment data files

Additional metadata for Elsevier datasets

Latest version

  • Version 2


    Published: 2020-04-25

    DOI: 10.17632/3pm7yy4xj9.2

    Cite this dataset

    Maclean, Finlay; Deus, Helena; Scerri, Tony (2020), “Protein regulatory relationships in COVID19 ”, Mendeley Data, v2


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CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

What does this mean?
You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.