We are happy to be presenting at this year’s virtual SOT meeting1 on a number of topics throughout the course of the event.

On Monday 15th March at 3pm (EST), we are covering some new areas at the session “Hot Topics in Computational Toxicology: New Developments that Support Regulatory Submissions.” This includes a discussion on new developments and publications in the areas of predicting bioactivation to support the assessment of drug-drug interactions as well as the prediction of acute toxicity and skin sensitization. In addition, we will review how N-Nitrosamine structure-activity relationships support carcinogenic potency categories.

On Tuesday March 16th at 08:30 EST during the SOT-CTSS virtual reception, we will be accepting an award for the Society of Toxicology (SOT) Computational Toxicology Specialty Section (CTSS) scientific paper of the year. The title of this paper is “A cross-industry collaboration to assess if acute oral toxicity (Q)SAR models are fit-for-purpose for GHS classification and labelling2.” A poster on this work will also be presented on Tuesday, March 23rd at 1:00pm EST at the Computation Toxicology II poster session.

And throughout the event many of our scientists will be at Instem’s In silico tox solutions booth. We look forward to meeting you there.

Please send me, Glenn Myatt (gmyatt@leadscope.com), a note if you’d like to discuss any of these topics in more detail.

References

  1. Summary of Instem’s events at the SOT 2021 Meeting
  2. Bercu, J., Masuda‐Herrera, M.J., Trejo-Martin, A., Hasselgren, C., Lord, J., Graham, J., Schmitz, M., Milchak, L., Owens, C., Lal, S.H., Robinson, R.M., Whalley, S., Bellion, Vuorinen, A., Gromek, K., Hawkins, W.A., van de Gevel, I., Vriens, K., Kemper, R., Naven, R., Ferrer, P., Myatt, G.J., 2021. A cross-industry collaboration to assess if acute oral toxicity (Q)SAR models are fit-for-purpose for GHS classification and labelling, Regulatory Toxicology and Pharmacology, Volume 120, March 2021, 104843 

Published by Glenn Myatt

Glenn J. Myatt is the co-founder and currently head of Leadscope (An Instem company) with over 25 years’ experience in computational chemistry/toxicology. He holds a Bachelor of Science degree in Computing from Oxford Brookes University, a Master of Science degree in Artificial Intelligence from Heriot-Watt University and a Ph.D. in Chemoinformatics from the University of Leeds. He has published 27 papers, 6 book chapters and three books.