To increase the regulatory acceptance of (Q)SAR methods, the OECD is developing a QSAR Toolbox to make (Q)SAR technology readily accessible, transparent, and less demanding in terms of infrastructure costs.
WEBINAR ON THE NEW OECD (Q)SAR Assessment Framework: guidance for assessing (Q)SAR models and predictions
WHEN: 9 November 2023 at 13:30 - 14:30 CET / 07:00 - 08:30 EST
The webinar will provide an overview of the new OECD (Q)SAR Assessment Framework for evaluating the scientific validity of (Q)SAR models and introduce new principles for evaluating (Q)SAR predictions: input, applicability domain, reliability, and fitness for purpose.
This new Framework provides regulators with a consistent and transparent approach for reviewing the use of (Q)SAR predictions in a regulatory context and increases the confidence to accept alternative methods for evaluating chemical hazards. The OECD worked closely together with the Istituto Superiore di Sanità (Italy) and the European Chemicals Agency (ECHA), supported by a variety of international experts to develop a checklist of criteria and guidance for evaluating each criterion. The aim of the QAF is to help establish confidence in the use of (Q)SARs in evaluating chemical safety, and was designed to be applicable irrespective of the modelling technique used to build the model, the predicted endpoint, and the intended regulatory purpose. The webinar will begin with an overview of the project and walk through the main aspects of the framework for assessing models and results based on individual or multiple predictions, and provide an opportunity for Q&A.
The Toolbox is a software application intended to the use of governments, chemical industry and other stakeholders in filling gaps in (eco)toxicity data needed for assessing the hazards of chemicals. It has been developed in close collaboration with the European Chemicals Agency. The Toolbox incorporates information and tools from various sources into a logical workflow. Crucial to this workflow is grouping chemicals into chemical categories. Please consult www.qsartoolbox.org
The seminal features of the Toolbox are:
The toolbox also provides an approach to predict skin sensitisation based on the concept of Adverse Outcome Pathways. The Toolbox has been developed in several phases:
The purpose of this webinar was to demonstrate the new features of Version 4.0 of the QSAR Toolbox.
OECD: Brief overview of the purpose & history of the QSAR Toolbox. Basic concepts and organisation of the Toolbox including workflow, profilers, databases. Where to get support for Version 4.0 (tutorials, discussion forum).
ECHA: Practical examples for the use of the QSAR Toolbox v4.0, with focus on the new functionalities. Relevance of profilers and databases for a given endpoint. Automated and standardised workflows. Quantitative metabolic information. Improved reporting: new prediction report and exportable data matrix in excel format.
The functionalities of the new version were presented at the 2017 IT tools training during ECHA´s stakeholders´ day.
The latest version of the QSAR Toolbox (version 4.6) as well as instructions for installation and how to get started are available at https://qsartoolbox.org/download/ and https://qsartoolbox.org/support/.
This includes release notes, installation manual, QSAR Toolbox Server Manual quick reference guide for getting started and other tutorials.
- Due to the size of the files, the downloads may take a few minutes.
The presentations of the QSAR Toolbox are available at https://qsartoolbox.org/support/.
Application manual of OECD QSAR Toolbox v.4.4
|2||Quick reference guidance for getting started|
|3||Manual for creating prioritisation schemes (using the Profiling Scheme Editor)|
|II. Step by step approach for predicting|
|1||Step-by-step example on how to predict the skin sensitisation potential approach of a chemical read-accross based on an analogue approach|
|2||Step-by-step example for predicting Ames mutagenicity by making use read-accross|
|3||Step-by-step example on how to predict acute aquatic toxicity to Daphnia for the 3-ethyl-5-methyl-3-methoxyphenol by the trend analysis approach|
|III. Step by step examples for introducing basic functionalities|
|1||Step-by-step example of how to evaluate an ad-hoc category of aliphatic amines and to predict an ecotoxicological endpoint|
|2||Step-by-step example of how to build an user-defined linear profiling scheme|
|3||Step-by-step example for building QSAR model|
|4||Example for predicting skin sensitisation potential of (2E,6Z)-2,6-nonadien-1-ol accounting for skin metabolism|
|5||Step-by-step example for predicting skin sensitization accounting for abiotic activation of chemicals|
|6||Example for predicting acute aquatic toxicity to fish of mixture with known components|
|7||Example for predicting Skin Sensitization of mixture|
|8||Implementation AOP workflow in Toolbox: Skin Sensitization|
|9||Examples illustrating customized search (Query Tool) in Toolbox|
|10||Example illustrating endpoint vs. endpoint correlation using ToxCast data|
|11||Example illustrating endpoint vs. endpoint correlation for apical endpoints|
Predicting acute aquatic toxicity to fish of Dodecanenitrile (CAS 2437-25-4) taking into account tautomerism
|IV. Step by step examples for introducing new functionalities of Version 4|
|1||Tutorial on how to predict skin sensitisation potential by automated workflow|
|2||Tutorial on how to predict skin sensitisation potential by standardized workflow|
|3||Tutorial of how to use Automated workflow for ecotoxicological prediction|
|4||Tutorial of how to use Standardized workflow for ecotoxicological prediction|
|5||Tutorial illustrating new options for grouping with metabolism|
|6||Tutorial on how to predict Skin sensitization potential taking into account alert performance|
|7||Tutorial illustrating quantitative metabolic information and related functionalities|
|8||Tutorial for using the PBT prioritization scheme|
|9||Tutorial on SMARTS structures search|
|10||Tutorial of how to Import/Export a custom database and Import/Export IUCLID|
|11||Tutorial illustrating new options of the structure similarity|
|V. Step by step examples for introducing new functionalities of Version 4.2|
Category elements for assessing category consistency
|2||Example illustrating RAAF scenario I and related assessment elements|
|3||Example illustrating RAAF scenario II and related assessment elements|
|4||Example illustrating RAAF scenario III and related assessment elements|
|5||Example illustrating RAAF scenario IV and related assessment elements|
|6||Example illustrating RAAF scenario V and related assessment elements|
|7||Example illustrating RAAF scenario VI and related assessment elements|
|8||Manipulation of datamatrix and manual transferring of data to the target outside data gap filling module|
|9||Evaluating alert performance accounting for metabolism|
|VI. Step by step examples for introducing new functionalities of Version 4.3|
Step-by-step example on how to use the (Q)SAR editor
Step by step example on how to implement AOP information from Effectopedia Wizard to Toolbox
Step-by-step example on how to build an user-defined profiling scheme accounting for the (a)biotic activation of the chemicals
The OECD does not foresee organising training sessions for the use of the Toolbox. Training sessions are organised by other organisations which are referenced:
The QSAR Toolbox helpdesk provides support. The helpdesk may address issues related to:
The support helpdesk is not able to address issues related to:
A QSAR Toolbox Discussion Forum is available where users can: