Open e-Infrastructure to Support Data Sharing, Knowledge Integration and in silico Analysis and Modelling in Predictive Toxicology and Risk Assessment

OpenRiskNet is a 3 year project with the main objective to develop an open e-Infrastructure providing resources and services to a variety of communities requiring risk assessment, including chemicals, cosmetic ingredients, therapeutic agents and nanomaterials. OpenRiskNet is working with a network of partners, organized within an Associated Partners Programme.

The e-Infrastructure

The main concept of the OpenRiskNet infrastructure are virtual research environments (VRE) integrating data, analysis, modelling and simulation services for all areas of risk assessment, which can be deployed to workstations as well as public and in-house cloud infrastructures.

Try it out

Feel free to test out one or multiple of the available services.

The Service Catalogue →

  • To get familiar with the OpenRiskNet concept, consult our case studies.
  • Try our workflows that can be directly applied or used as examples for further adaptations.

Tutorials and feedback

  • Webinars – Watch the recordings of the webinars introducing the infrastructure.
  • Help desk – Report issues, give feedback and browse our knowledge base.

You will need to login to access some of the services. Please check the login instructions, terms of use and privacy policy for details.

Resources for end-users

For scientists and members of academia, industry or regulatory agencies who would like to use the infrastructure for their predictive toxicology and risk assessment tasks.

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Resources for developers

For service developers, infrastructure providers or data managers who would like to integrate their databases and software tools into the OpenRiskNet infrastructure.

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OpenRiskNet Services

Integrated
A classification model built by CPSign for predicting molecules
Classification model that models Blood brain barrier penetration using the statistical approach Conformal prediction.

Provided by:
Uppsala Universitet
Type:
Trained model, Model
Applicability domain:
Predictive toxicology
Topic:
Biokinetics
Biological area:
Toxicokinetics, Blood brain barrier
For end-users
Integrated
The model predicts Log D based on a support vector machine trained on data from ChEMBL version 23 comprising approximately 1.6 million compounds. The confidence interval is calculated for the ...

Provided by:
Uppsala University
Type:
Trained model
Applicability domain:
Computational modelling
Topic:
Chemical properties, Structure-activity relationship (SAR / QSAR), Predictive modelling
For end-users
For developers
Integrated
OpenRiskNet Single Sign On
OpenRiskNet Single Sign On (SSO) based on Red Hat SSO product (Keycloak). Provides a single point of user authentication for deployed applications. Administrative privileges required to access.

Provided by:
Red Hat
Type:
Service
For system admins
Integrated
Chemical identifier conversion service
This REST Api allows you to submit chemical identifiers in one format and translate it into another format (e.g. SMILES -> InChi)

Provided by:
Edelweiss Connect
Type:
Helper tool
Topic:
Identifier mapping
For end-users
For developers
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News & events

Implementation Challenge

The implementation challenge provided financial support to associated partners, which are working on integrating their services into OpenRiskNet.

The winners of the challenge are announced on the dedicated page.

Introduction and demo virtual meetings

A series of introduction and demo virtual meetings were organised by the consortium. The video recordings of these webinars and the presentation slides are available in the OpenRiskNet library. The complete list events are announced on the website.

Meet us

Meet us in person at one of these upcoming conferences and other events. Details on the past events and the resources generated are also available.

A final workshop was organised on 23-24 October 2019 (Amsterdam, The Netherlands). The details on the topics, program and materials are available on the event web page or in the workshop report.