Have you ever lost data or have someone who worked on a project leave and take their knowledge of the data with them? Stream the webinar replay by Dr. Joel Owen in collaboration with Pharmacometrics Africa.
What’s New in GastroPlus® v9.8
GastroPlus® version 9.8 has the most innovative & integrative software improvements to accelerate drug development through...
What’s New in DSX™
DILIsym is quantitative systems toxicology (QST) software that integrates in vitro mechanistic data and PBPK predictions of drug concentration in the...
The UofA Faculty of Pharmacy & Pharm.Sci presents Phytocannabinoids DDIs and more!
Cannabis is a plant with a long history of human pharmacological use, both for recreational purposes and as a medicinal remedy.
MonolixSuite: What’s new in 2020?
MonolixSuite’s latest release (2020) introduces a new application for clinical trial simulations, with a user-friendly interface and interactive plots.
Delivering on the promise of AI-driven drug discovery with ADMET Predictor® 10 (APX). Background and applications examples
Dr. Marvin Waldman will present a brief background behind generative chemistry applications and their relevance to ADMET Predictor® (APX).
Part 2 – Utilization of PBBM/PBPK Models for Building a Safe Space with Dr. Sandra Suarez-Sharp
The GastroPlus User Group and Dr. Sandra Suarez-Sharp follow up on the questions asked during Part 1 of, "Utilization of PBBM/PBPK Models for Building a Safe Space and Regulatory Applications in Support of Drug Product Quality."
ADMET Predictor® 10 (APX): Multi-threaded property prediction, new transporter models, AI-driven drug discovery and more
Eric Jamois, Director of Business Development, will host a webinar on Wednesday, September 16th to introduce the new ADMET Predictor® 10 (APX) release.
Utilization of PBBM/PBPK Models for Building a Safe Space and Regulatory Applications in Support of Drug Product Quality
Drug products undergo many chemistry, manufacturing, and control (CMC) changes throughout their lifecycle, making the overall process costly and time consuming.
GastroPlus® Lecture Series Part III: DDI Predictions with Viera Lukacova
This GastroPlus® webinar hosted by Viera Lukacova, Director of Simulation Sciences, provides an overview of modeling and simulation in DDI risk...
GastroPlus® Lecture Series Part II: Mechanistic IVIVCs and Virtual BE trial simulations
This GastroPlus® webinar hosted by Joyce Macwan, Sr. Scientist II, provides an overview of mechanistic IVIVC and virtual bioequivalence trials to support formulation development.
GastroPlus® Lecture Series Part I Basic model considerations & food effect predictions
In this GastroPlus® webinar hosted by Principal Scientist Jim Mullin explores updated human exposure predictions and food effect risk identification using...
DILIsym Simulations Support the Liver Safety of Ubrogepant in New Toxicological Sciences Publication
Dr. Paul B. Watkins and Dr. Jeff Woodhead discuss the DILIsym analysis of the latest publication in Toxicological Sciences! Small-molecule calcitonin gene...
How To Improve Your Compound Design & Screening Using ADMET Property Prediction and PK Simulations Day 2
Simulations Plus, in partnerships with pharmaceutical companies globally, has made significant investments in its ADMET Predictor® platform to implement...
How To Improve Your Compound Design & Screening Using ADMET Property Prediction and PK Simulations Day 1
Simulations Plus, in partnerships with pharmaceutical companies globally, has made significant investments in its ADMET Predictor® platform to implement...
High-quality, User-friendly PK Data Analysis with PKPlus™
As more compounds are screened in animal studies, simplified PK/TK data analyses and modeling & simulation routines.
Modeling in vitro Permeability with MembranePlus™
The chase is on to improve IVIVE approaches for compounds which are subject to complex absorption and clearance processes.
Using DDDPlus™ to Predict in vivo API Exposure Levels
There has been an increasing desire to incorporate mechanistic models of in vitro experiments to evaluate the interplay between...
Feature of the week #94: Individual parameters
Monolix estimates the population parameters, which characterize the population. But often we also need the parameter values for each individual present in the dataset.
Feature of the week #93: Initial integration time
When a model is defined as a system of differential equations, the initial integration time corresponding to the initial conditions of the system is not necessarily 0.