filmov
tv
webinar recording: computational toxicology - from models to workflows

Показать описание
The development of a new drug currently takes 10-12 years, with costs of around €2bn. The main reasons for failures comprise a lack of efficacy and unforeseen toxicity.
In this webinar, Professor Ecker from Vienna University and 'Master Mind' of his recently founded company "Phenaris" will outline computational approaches to minimize the risk of failures due to toxicity. These comprise classical machine learning models to predict certain toxicity endpoints such as cholestasis, as well as deep learning approaches to overcome insufficient size and imbalance of toxicity datasets.
Integration of structure-based methods for the prediction of molecular initiating events with machine learning and pharmacophore modeling is outlined for the use case of mitochondrial toxicity. Leveraging complex data analysis pursued with KNIME workflows allows to create compound-pathway interaction fingerprints and link them to hepatotoxicity and cardiotoxicity. Finally, ToxPHACTS, a data-driven tool for toxicological read-across will be presented.
guest speaker: Prof. Dr. Gerhard F. Ecker, University of Vienna & Phenaris GmbH, Vienna, Austria
In this webinar, Professor Ecker from Vienna University and 'Master Mind' of his recently founded company "Phenaris" will outline computational approaches to minimize the risk of failures due to toxicity. These comprise classical machine learning models to predict certain toxicity endpoints such as cholestasis, as well as deep learning approaches to overcome insufficient size and imbalance of toxicity datasets.
Integration of structure-based methods for the prediction of molecular initiating events with machine learning and pharmacophore modeling is outlined for the use case of mitochondrial toxicity. Leveraging complex data analysis pursued with KNIME workflows allows to create compound-pathway interaction fingerprints and link them to hepatotoxicity and cardiotoxicity. Finally, ToxPHACTS, a data-driven tool for toxicological read-across will be presented.
guest speaker: Prof. Dr. Gerhard F. Ecker, University of Vienna & Phenaris GmbH, Vienna, Austria
webinar recording: computational toxicology - from models to workflows
webinar recording: resolving the question of on- or off-target toxicity – a case study
Computational Toxicology and Information Sciences Presentation, October 20, 2020
Mistra SafeChem Final Webinar Session 1
Most Common Issues with CDISC-SEND Data in FDA Toxicology Review – Sep. 12, 2019
We Have Your Poison Data: HSE's Head of Computational Toxicology, George Loizou
Non-Animal Occupational Toxicology Testing Technology and Policy - July 5, 2017
Toxicological Tools for Greener Product Design
Ask the Expert: Top 3 questions for selecting the right Toxicology partner | (Toxicology Services)
Computational Approaches To Acute Mammalian Systemic Toxicity, Dan Wilson
Computational and predictive methods for risk assessment : issues and promises
REACH 2018: Assess hazards and risks of your chemicals
webinar recording: streamline your drug discovery process
What Does The FDA Say About Digital Pathology for Nonclinical Toxicology Studies?
Application of in silico models to support decision making in toxicology: Chris Barber, Lhasa, LTD
In2Tox webinar Use of AI in Toxicology January 18 2022
Use of Computational and AOP based Approaches to Inform Carcinogenicity Assessments
TALKING TOX WEBINAR - Best practices for the conduct of preclinical ototoxicity evaluation
Acute Inhalation Toxicity Webinar 5
NAM-based strategies for systemic toxicity assessment
CATMoS: Development and Use of the Collaborative Acute Toxicity Modeling Suite
webinar recording: 11 billion compounds available for your research at Chemspace
The Modern Views toward Computational Toxicology | Online Course | Udemy
webinar recording: early drug discovery experiences from a small biotech
Комментарии