Visit us at SOT 2021

Visit us at SOT 2021 is attending the upcoming Annual Meeting and ToxExpo Virtual Event of the Society of Toxicology in March 2021. We would like to invite you to visit our booth no. 2052 at the ToxExpo.

We will demonstrate our suite of software tools and applications in the area of computational toxicology, safety and risk assessment. We are available to answer any questions regarding our technology and will be glad to help you finding the right solution for your challenges.

In addition, please find below a list of scientific presentation related to our technology that will be given in the technical sessions at the 2021 SOT Annual Meeting.

We are looking forward to meeting you.

Oral Presentations

  • A New Paradigm in Threshold of Toxicological Concern Transforming Cramer Class Approaches to Chemotype Grouping Based on Chemoinformatics Analysis of a Highly Curated Database
    Chihae Yang
    MN-AM, Nuremberg, Germany and Columbus, OH, USA
    Workshop Session 1234
    Monday, March 22, 12.15pm – 12:40pm EST 
  • The New Cancer Potency (Updated CPDB) Database for TTC
    M.T. Cronin1, J.W. Firman1, J. Liu2, A. Mostrag-Szlichtyng2, K.R. Przybylak1, and A. Tarkhov3
    1Liverpool John Moores University, Liverpool, UK, 2Altamira LLC, Columbus, OH, USA, and 3Molecular Networks GmbH, Nuremberg, Germany
    Workshop Session 1232
    Monday, March 22, 11:25am – 11:50am EST

Poster Presentations

  • Representations of liver toxicity knowledge by chemotypes based on ontology approach to support biological & chemical grouping in chemical safety assessment
    J. Firman1, T. Magdziarz2, B. Bienfait2, M. Cronin1, D. Ebbrell1, S. Enoch1, B. Hobocienski3, J. Madden1, A. Mostrag-Szlichtyng3, J. Rathman3, V. Ribeiro3, M. Vinken4, and C. Yang2,3
    1Liverpool John Moores University, Liverpool, United Kingdom; 2MN-AM GmbH, Nuremberg, Germany; 3MN-AM LLC, Columbus, OH; and 4Vrije Universiteit Brussel, Brussels, Belgium
    Poster Board P295, Abstract 2557
    Monday, March 22, 1:00pm – 2:45pm EST 
  • A Case Study to Leverage Public and Commercial Resources to Improve In Silico Chemical Safety Assessment
    A. Mostrag-Szlichtyng1, K. Arvidson2, M. Cronin3, D. Ebbrell3, S. Enoch3, J. Firman3, J. Madden3, J. Marusczyk4, P. Volarath2, J. Rathman1, C. Schwab4, and C. Yang1,4
    1MN-AM, Columbus, OH, USA, 2US FDA/CFSAN, College Park, MD, USA 3Liverpool John Moores University, Liverpool, UK, and 4MN-AM, Nuremberg, Germany
    Poster Board P220, Abstract 2754
    Tuesday, March 23, 11:15am – 1:00pm EST 
  • Estimating EC3 (Effective Concentration for a Stimulation Index of Three) Confidence Bounds and Uncertainties for Skin Sensitization Based on Structure Similarity and Assay Profiles
    J. Rathman1, C. Yang1,2, M. Cronin3, and S. Enoch3
    1MN-AM, Columbus, OH, USA 2MN-AM, Nuremberg, Germany, and 3Liverpool John Moores University, Liverpool, UK
    Poster Board P264, Abstract 2798
    Tuesday, March 23, 1:00pm – 2:45pm EST 
  • New Public CSRML-Based Structure-Fingerprint Method for Profiling and Categorizing PFAS Structures for Modeling and Read-Across
    A.M. Richard1, R. Lougee2, G. Patlewicz1, C. Grulke1, A. Williams1, C. Yang3, J. Rathman4, and T. Magdziarz3
    1US EPA, Research Triangle Park, NC, USA, 2Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA, 3MN-AM, Nuremberg, Germany, and 4MN-AM, Columbus, OH, USA
    Poster Board P303, Abstract 2565
    Monday, March 22, 1:00pm – 2:45pm EST 

Special Events

  • MN-AM, Molecular Networks & Altamira: Novel Chemoinformatics Platform ChemTunes·ToxGPS® and Its Public Version COSMOS Next Generation
    MN-AM (Molecular Networks & Altamira) presents an innovative chemoinformatics approach to estimate NOAEL confidence bounds for a target based on experimental NOAEL of compounds selected based on mode-of-action categories and analog quality (structure- and property-based similarity). The new COSMOS Next Generation public data and knowledgebase system will also be presented in this session.
    Tuesday, March 23, 2021, 4:00pm – 5:00pm EST
    Download invitation


We use cookies on our website to enhance the user experience and to analyze traffic. We may share your site usage data with our analytics software providers. By clicking “Accept & Close,” you are consenting to the terms described on our Disclaimer page.