Applying the QSP Model NAFLDsym® to Predict and Understand NASH Treatments

Applying the QSP Model NAFLDsym® to Predict and Understand NASH Treatments

Authors: Siler SQ
Conference: NASH Summit
Software: DILIsym®, NAFLDsym®
Division: DILIsym Services

NAFLDsym is a mechanistic, mathematical, QSP model 1. Can predict efficacy for compounds that modulate lipids and/or lipotoxicity with v1A 2. NAFLDsym v2A will also include inflammation and fibrosis submodels…

Population Pharmacokinetics, Exposure-Efficacy, and Target Attainment Analyses of Tedizolid in Japanese and Chinese Subjects

Population Pharmacokinetics, Exposure-Efficacy, and Target Attainment Analyses of Tedizolid in Japanese and Chinese Subjects

Conference: ECCMID
Software: KIWI™
Division: Cognigen

Methicillin-resistant Staphylococcus aureus (MRSA) remains a threat for healthcare systems globally.1 MRSA frequently causes healthcare-associated infections and is associated with increased morbidity…

Exploring Pharmacokinetic SARs Early in Drug Discovery

Exploring Pharmacokinetic SARs Early in Drug Discovery

Authors: Clark RD
Conference: UKQSAR
Division: Simulations Plus

Late-stage attrition due to obviously bad physicochemical properties has been reduced by application of rules-ofthumb like Lipinski’s Rule of Five. Failure due to lack of efficacy remains a major issue.

The Influence of Dissolution, PMAT Influx, and MATE Efflux Rates on Paracellular Absorption of Metformin Using a Mechanistic Oral Absorption / PBPK Model

The Influence of Dissolution, PMAT Influx, and MATE Efflux Rates on Paracellular Absorption of Metformin Using a Mechanistic Oral Absorption / PBPK Model

Conference: AAPS
Software: GastroPlus®
Division: Simulations Plus

A physiologically based absorption and distribution model was developed for metformin to facilitate our understanding of the influence of transporters and dissolution rate on oral absorption.

Predicting Five Rat Acute Toxicity Endpoints with ANNE Models

Predicting Five Rat Acute Toxicity Endpoints with ANNE Models

Conference: NIH
Software: ADMET Predictor®
Division: Simulations Plus

Used ANNE technology to develop regression and classification models. Curation identified activity cliffs and questionable LD50 values. Model applicability domain is defined by the minimum and…

Pharmacokinetics and interspecies scaling of a novel, orally-bioavailable anti-cancer drug, SHetA2

Pharmacokinetics and interspecies scaling of a novel, orally-bioavailable anti-cancer drug, SHetA2

Publication: PLoS One
Software: GastroPlus®

SHetA2 is a small molecule drug with promising cancer prevention and therapeutic activity and a high preclinical safety profile. The study objectives were to perform interspecies scaling and...

Dissolution and Translational Modeling Strategies Enabling Patient-Centric Drug Product Development: the M-CERSI Workshop Summary Report

Dissolution and Translational Modeling Strategies Enabling Patient-Centric Drug Product Development: the M-CERSI Workshop Summary Report

Publication: AAPS J
Software: GastroPlus®
Division: Simulations Plus

On May 15th–17th, 2017, the US FDA and the International Consortium for Innovation and Quality in Pharmaceutical Development (IQ) held a workshop at the University of Maryland’s Center of Excellence...

Mechanistic Absorption/PBPK Modeling to Predict Positive/Negative Food Effects: Approaches and Special Considerations

Mechanistic Absorption/PBPK Modeling to Predict Positive/Negative Food Effects: Approaches and Special Considerations

Authors: DiBella J
Conference: Le Club Phase 1 PBPK Symposium
Division: Simulations Plus

1) Early examples and proposed approach 2) Fasted vs. fed state model descriptions – where are we today? 3) Case study: positive food effect predictions – input review 4) Case study: negative food effect…

Leveraging PopPK and PBPK Modeling Approaches to Understand Food/PPI Effects

Leveraging PopPK and PBPK Modeling Approaches to Understand Food/PPI Effects

Authors: DiBella J
Conference: Le Club Phase 1 PBPK Symposium
Division: Simulations Plus

Applying both top-down (PopPK and PBPK) and bottom-up (PBPK) modeling approaches can leverage existing data sets and help prospectively answer questions. Predictions of absorption-related DDIs…

A strategy for early risk predictions of clinical drug-drug interactions involving the GastroPlusTM DDI module for time-dependent CYP inhibitors

A strategy for early risk predictions of clinical drug-drug interactions involving the GastroPlusTM DDI module for time-dependent CYP inhibitors

Publication: Xenobiotica
Software: GastroPlus®

A set of reference compounds for time-dependent inhibition (TDI) of cytochrome P450 with available literature data for kinact and KI was used to predict clinical implications using the GastroPlusTM software.

Discovery PBPK: How to enhance the expected accuracy of bioavailability predictions for NCEs that are not primarily metabolized

Discovery PBPK: How to enhance the expected accuracy of bioavailability predictions for NCEs that are not primarily metabolized

Authors: Martin EJ, Bolger MB
Division: Simulations Plus

In this webinar, we will review the accuracy of purely in silico estimates of bioavailability and the chemistry classification of new chemical entity (NCE) molecules that are easier or harder to...

Experimental versus theoretical log D7.4, pKa and plasma protein binding values for benzodiazepines appearing as new psychoactive substances

Experimental versus theoretical log D7.4, pKa and plasma protein binding values for benzodiazepines appearing as new psychoactive substances

Publication: Drug Test Anal
Software: ADMET Predictor®

The misuse of benzodiazepines as new psychoactive substances is an increasing problem around the world. Basic physicochemical and pharmacokinetic data is required on these substances to interpret and predict their effects upon humans.