"Tutor-assisted" eLearning
New Approach Methodologies (NAMs) - Application of QSAR and Read-across
 
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We have ported an extended version of the popular NAMs - Use and Application of QSAR and Read-across course onto an eLearning platform so that participants can study when they have available time.

The course is packed full of lectures, freely available software demos, software guides, quizzes and home assignments. It also includes two live 1-to-1 tutor sessions and unlimited email support to answer any questions.

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Click to visit our eLearning platform and discover details of our courses

Session 1:
Toxicology Data Resources

Chemical identifiers
Toxicology Data Resources

 

 

 

Learning outcome
At the end of this session you should be able to:

  • understand and use the most common chemical identifiers to ensure accuracy of chemical structures

  • have some basic practical skills in using selected tools to find relevant toxicological data

     

Session 2:
Molecular descriptors & structural similarity

Most common molecular descriptors

Structural similarity

 

Learning outcome
At the end of this session you should be able to:

  • understand and use the most common molecular descriptors and their use

  • have some basic practical skills in using selected tools to obtain or calculate molecular descriptors and to evaluate the structural similarity between two chemical structures
     

Session 3:
(Q)SAR models

Rule and statistical-based models
Combination to reduce uncertainty
Free QSAR software for regulatory toxicology

Learning outcome

At the end of this session you should be able to:

  • understand concepts and principles of rule-based and statistical-based (Q)SAR models and which are the pros and cons of the different methodologies

  • have some basic practical skills in using selected tools to obtain predicted toxicological properties

Session 4:
Interpretation of (Q)SAR

Introduction to the main guidelines on how to use and report (Q)SARs
The selection of (Q)SAR models best suited for regulatory toxicology
How to report (Q)SAR for regulatory toxicology
The correct interpretation of (Q)SAR predictions and the description of the associated uncertainty

Learning outcome
At the end of this session you should be able to:

  • reflect on the strengths and limitations of rule-based and statistical-based (Q)SAR models and their proper areas of use

  • understand concepts and principles of the validation of (Q)SAR models

  • have some basic practical skills in interpretation of (Q)SAR predictions and in reporting (Q)SAR for regulatory toxicology

Session 5:
Read-across approach

The read-across concept
Frameworks for read-across
Forming rational groups of chemicals & how to find suitable analogues
Freely available read-across software

Learning outcome
At the end of this session you should be able to:

  • understand concepts and principles of read-across and the strategies to identify analogues

  • have some basic practical skills in using the OECD QSAR ToolBox to obtain toxicological properties predicted with a read-across approach

Click to visit our eLearning platform and discover details of our courses

Registration:

 

To ensure the quality of the training and to allow all the participants to meet their goals the number of attendees is limited to 20. Registrations will be accepted on a first come, first serve basis. 

Session 1 - 2 hours - Searching for chemical data and evaluate structural similarity

  • Substance, chemical structure, identifiers

  • Databases

  • Molecular descriptors I

  • Structural similarity

 

Practical examples will be demonstrated using: ChemSpider, OECD QSAR ToolBox, COSMOS DB, ChemTunes•ToxGPS©, AMBIT

 

At the end of this session you'll be able to:

  • Search chemical databases using a identifier, a chemical structure or a chemical substructure

  • Calculate molecular descriptors

  • Calculate structural similarity