2 datasets found
  1. g

    A Curated Gene and Biological System Annotation of Adverse Outcome Pathways...

    • nanocommons.github.io
    • data.niaid.nih.gov
    • +1more
    Updated Nov 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NanoSolveIT (2022). A Curated Gene and Biological System Annotation of Adverse Outcome Pathways Related to Human Health [Dataset]. http://doi.org/10.5281/zenodo.7980953
    Explore at:
    Dataset updated
    Nov 1, 2022
    Dataset authored and provided by
    NanoSolveIT
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Adverse Outcome Pathways (AOPs) are multi-scale models of biological mechanisms connecting molecular initiating events to adverse outcomes through measurable key events. AOPs can guide the use and development of new approach methodologies (NAMs) aimed at reducing animal experimentation in chemical safety assessment. Here, we present a comprehensive molecular annotation of AOPs relevant to human health to embed the AOP framework into molecular data interpretation, which supports the development and application of novel AOP-based approaches in biomedical research. Please cite the following publication alongside this Zenodo entry when using the data: Saarimäki, L.A., Fratello, M., Pavel, A. et al. A curated gene and biological system annotation of adverse outcome pathways related to human health. Sci Data 10, 409 (2023). https://doi.org/10.1038/s41597-023-02321-w

  2. g

    caLIBRAte - eNanoMapper database

    • nanocommons.github.io
    • data.niaid.nih.gov
    • +1more
    Updated Oct 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    caLIBRAte (2022). caLIBRAte - eNanoMapper database [Dataset]. http://doi.org/10.5281/zenodo.7193516
    Explore at:
    Dataset updated
    Oct 1, 2022
    Dataset authored and provided by
    caLIBRAte
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    The objective of the caLIBRAte project was to establish a state-of-the-art versatile Risk Governance framework for assessment and management of human and environmental risks of MN and MN-enabled products. Since 1 October 2022 the data gathered in the project are publicly available via the caLIBRAte - eNanoMapper database. A standalone Docker instance is also available. The caLIBRAte database is subject to updates during completion of supplemental analysis after publication as an open database entity.

  3. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
NanoSolveIT (2022). A Curated Gene and Biological System Annotation of Adverse Outcome Pathways Related to Human Health [Dataset]. http://doi.org/10.5281/zenodo.7980953

A Curated Gene and Biological System Annotation of Adverse Outcome Pathways Related to Human Health

Explore at:
Dataset updated
Nov 1, 2022
Dataset authored and provided by
NanoSolveIT
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Adverse Outcome Pathways (AOPs) are multi-scale models of biological mechanisms connecting molecular initiating events to adverse outcomes through measurable key events. AOPs can guide the use and development of new approach methodologies (NAMs) aimed at reducing animal experimentation in chemical safety assessment. Here, we present a comprehensive molecular annotation of AOPs relevant to human health to embed the AOP framework into molecular data interpretation, which supports the development and application of novel AOP-based approaches in biomedical research. Please cite the following publication alongside this Zenodo entry when using the data: Saarimäki, L.A., Fratello, M., Pavel, A. et al. A curated gene and biological system annotation of adverse outcome pathways related to human health. Sci Data 10, 409 (2023). https://doi.org/10.1038/s41597-023-02321-w

Search
Clear search
Close search
Google apps
Main menu