ADMET Predictor® DILIsym® Module Outputs to Assess Liver Toxicity Rankings
On-Demand | Introductory | Learn at your own Pace
Description:
Learn how to efficiently assess and rank the hepatotoxicity risk of drug candidates early in development using the ADMET Predictor 12 DILIsym module in this hands-on training. Discover how to leverage machine learning-based predictions from compound structure, generate key toxicity parameters, and simulate in vivo liver injury scenarios with minimal data. The course covers step-by-step workflows, practical examples, and best practices for parameterizing and interpreting DILIsym outputs, enabling rapid, cost-effective liver safety evaluations across all stages of drug discovery
Who should take this training:
This training is ideal for scientists working in drug discovery and development—such as toxicologists, pharmacologists, and computational chemists—who need to evaluate liver safety risks of new compounds. It is especially valuable for those in early-stage research or preclinical roles, regardless of experience level, who want to streamline toxicity assessments using predictive modeling and minimal experimental data. Attendees will gain practical skills to make informed, structure-based decisions and accelerate compound progression with confidence.
Registration Details:
This course is on-demand; register anytime!
Access Duration: 1 year from the date you enroll
Pricing Information:
Commercial/Industry: $50
Academic/Government/Non-profit/Regulatory/SLP-TAP: $25*
*To receive membership pricing, you must use an affiliated email address with a qualifying institution. Personal email accounts (Gmail, Yahoo, etc.) are automatically disqualified. If you need to change your email address or inquire about membership pricing please email education@simulations-plus.com
Certification
A certificate is available upon completion of this course with a passing score on the learning checks.
Certificates will arrive via email from our training portal. Please make sure you can receive messages from slp.edu@simulations-plus.com. (Note: this email’s inbox is not monitored, and you will not receive a reply.)
