eLearning academy

Workshop in Paris 28 June 2024 plus eLearning course: 
"NAMs - Use and application of QSAR and read-across"

ToxNavigation and Simply Predict (CEHTRA) have collaborated to provide a unique blend of a workshop experience together with a comprehensive training program

  • Workshop tutors in Paris:
    Prof. Mark Cronin
    Dr. Elena Fioravanzo
    Dr. Clarisse Bavoux
    Dr. Faizan Sahigara
  • For:
    Toxicologists, ecotoxicologists, chemists, risk assessors, post-graduate students and regulatory officers
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    For enrolment and further information please email us at contact@simplypredict.ai

    Workshop and "NAMs" eLearning course:

    Workshop, "NAMs" and "OECD QSAR Toolbox" eLearning course:

     1,850€
     2,900€

    Here is what we will cover in the program

    Workshop in Paris

    28 June 2024


    Listen and meet the     in silico toxicology experts in Paris delivering both lectures and case studies. Take the opportunity to interact with them.  Workshop in English but with two French speakers 
    • Speakers include:
      Prof. Mark Cronin      , Liverpool John Moores University
      Dr. Elena Fioravanzo, ToxNavigation
      Dr. Clarisse Bavoux, CEHTRA
      Dr. Faizan Sahigara, CEHTRA

    Tutor-assisted eLearning

    Recognised by EUROTOX for 16 hours of Continued Professional Development

    The program also includes enrolment to the following tutor-assisted eLearning course
    • "NAMs - Use and application of QSAR and read-across".
    • Enhanced option to also enroll on the "Navigating the OECD QSAR Toolbox" course
    • 12 months access to the course with the option to extend

    One-to-one tutorials

    Support throughout the course


    • Two one-to-one 30 minute tutorials via a video meeting are scheduled to answer questions on the eLearning course.
    • Email support is provided at any time during the course or you can alternatively post questions on our message board for any required help.

    For enrolment and further information please email us at contact@simplypredict.ai

    Paris Workshop Lecturers

    Prof. Mark Cronin

    Mark has 35 years experience in the application of in silico approaches to predict toxicity and fate of chemicals with over 320 publications and 4 books in this field. Worked on numerous projects including more than 15 EU framework projects.

    Faizan Sahigara

    Faizan has had a career in cheminfomatics that started with a PhD in QSAR modelling at the University of Milano Bicocca and is now leading the Simply Predict team in CEHTRA providing in silico services.

    Clarisse Bavoux

    Clarisse has a 17 years experience as toxicologist, and as a safety assessor since 2011. With her team at CEHTRA, she prepares Safety Reports for Cosmetic Products, based on robust toxicological profiles. For new ingredients, she supports companies for the best strategy needed to prove the safety, using in silico and in vitro approaches. More and more those results are integrated into a NGRA.

    Elena Fioravanzo

    Elena has over 20 years experience of computational toxicology in a regulatory context. She has presented at many international conferences, participated in EU projects and has published 130 posters and papers. Elena is the driving force behind ToxNavigation and their acclaimed training courses for in silico toxicology.

    Here is what we will cover in the eLearning course

    This course commences immediately after the workshop in Paris

    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

    Software demonstrated on the course:

    All software packages are non-commercial and free to install and use


    • OECD QSAR Toolbox
    • EPA Computox Dashboard
    • Danish (Q)SAR Models
    • Danish (Q)SAR Database
    • COSMOS NG
    • Integrated Chemical Environment (ICE)
    • VEGA
    • Janus
    • OPERA
    • T.E.S.T.
    • ChemSpider

    For enrolment and further information please email us at contact@simplypredict.ai

    What can you expect from the eLearning course?

    Click the monitor on the left to watch a short video giving an overview on how the eLearning application works.

    The courses are tutor-assisted. There are one-to-one video sessions with the tutor and at any time you can email us with your questions or post any queries on our Community forum.
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    Testimonials from learners who have attended our eLearning courses

    Professional training

    NAMs eLearning course
    Really good course, very well constructed with good balance between theory and practical examples. The e-learning platform is well structured and very easy to navigate in. Elena and Peter have always answered to our questions promptly and in a friendly way. Elena have a great amount of knowledge in the field and is passionate. Training highly recommended.

    Blandine Doornaert,
    Regulatory Toxicologist, Solvay

    NAMs eLearning Course (QSAR and Read Across)
    Great course, very insightful, providing a solid foundation of knowledge. I have learnt a lot on both the theory and application of (Q)SARs and read across. The course was easy to navigate and well presented, with a good interactive interface. The exercises throughout were helpful to test my knowledge and application of different tools. Elena and Peter were very helpful and contactable throughout. Elena has a great amount of knowledge in the field and answered any questions I had to a very high standard within helpful 1-to-1 meetings arranged within the course. Would highly recommend!

    Mesha Williams,
    Computational Scientist, Unilever

    Structured and comprehensive lectures…
    Structured and comprehensive lectures starting from basis to a large review covering many QSAR models, good balance between theory and practice, well-experienced teacher and very good shared-point to access documents. Easy interactions/exchanges.

    Guy Bouvier,
    Director Toxicology and Product Safety, Pierre Fabre

    An informative and well-structured course
    A massive amount of information is presented in a well-structured e-learning base.
    ToxNavigation has always responded to our inquiries in a friendly and timely manner.

    Dr. Ghazaleh Jahanshah
    Global Medical Writing & Advice Manager,
    Wörwag Pharma GmbH & Co.KG

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