PBBM / PBPK modeling & simulation software package which simulates all major dosing routes and drug-drug interactions (DDIs) in virtual human & animal population groups.
Easy, fast, and powerful tool for parameter estimation in non-linear mixed effect models, model diagnosis and assessment, and advanced graphical representation.
Flagship machine learning platform for ADMET modeling with extended capabilities for data analysis, metabolism prediction, high-throughput pharmacokinetic simulation (HTPK), and AI-driven drug design.
Quantitative Systems Toxicology (QST) software designed to be used during drug development to provide deeper insight into the mechanisms responsible for observed drug-induced liver injury (DILI) responses.
A mechanistic simulation engine for the in vitro dissolution experiment that predicts in vitro disintegration and dissolution of pharmaceutical dosage forms.
Quantitative Systems Pharmacology (QSP) software for mechanistic mathematical modeling of nonalcoholic fatty liver disease (NAFLD.)
A detailed modeling & simulation program for in vitro metabolism & transport studies.
Graphical and interactive software for non-compartmental and compartmental analysis.
A powerful and flexible simulator for clinical trial pharmacometrics.
Quantitative Systems Pharmacology (QSP) software providing the ability to predict the efficacy of drugs being developed to treat idiopathic pulmonary fibrosis (IPF.)
Quantitative Systems Pharmacology (QSP) software for mechanistic mathematical modeling of interstitial lung disease (ILD) associated with system sclerosis (SSc.)
Quantitative Systems Toxicology (QST) software for predicting and understanding drug-induced kidney injury.
FREE chemical sketching software tool which combines innovative molecule drawing features.
QSP software for predicting efficacy & guiding design.
Regulatory agencies have issued guidance pertaining to transporters-related drug-drug interactions (DDIs). The Transporters Module in ADMET Predictor contains a set of models specifically focused on transporters:
The new ADMET Predictor Transporters module contains models for P-gp, BCRP, OATP1B1, OATP1B3, OCT1, OCT2, OAT1, OAT3 and BSEP. For most transporters, we provide substrate/non-substrate and inhibitor/non-inhibitor classification models and Km regression models. For BSEP, there is both an inhibitor/non-inhibitor classification model and a regression model that predicts IC50 values.
In total, there are 24 models included with 18 of them being completely new in the ADMET Predictor 10.0 (APX) release. Several models (P-gp substrate, P-gp inhibitor and OATP1B1 inhibitor) have been rebuilt from their previous implementation using updated training sets.
The Transporters module takes advantage of the recent architectural enhancement to ADMET Predictor, providing multi-threading capabilities. All the models can operate under multi-threaded mode with no special license required.
