Nonlinear Mixed-Effects Modeling to Characterize the Pharmacokinetics of a Novel Mithramycin Analogue for Ewing Sarcoma in Mice

Nonlinear Mixed-Effects Modeling to Characterize the Pharmacokinetics of a Novel Mithramycin Analogue for Ewing Sarcoma in Mice

Publication: Research Square
Software: Monolix®

To develop a pharmacokinetic model for a novel mithramycin analogue, MTMSA-Trp, in mice and characterize dose-dependent disposition to support future pharmacokinetic-pharmacodynamic (PK/PD) and exposure-e cacy analyses.

Piperazine-Thiourea Hybrids as Novel Antiplatelet Agents Targeting COX-1: Synthesis, in Vitro, and in Silico Evaluation

Piperazine-Thiourea Hybrids as Novel Antiplatelet Agents Targeting COX-1: Synthesis, in Vitro, and in Silico Evaluation

Publication: ACS Omega
Software: ADMET Predictor®

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, reinforcing the need for safer and more effective antiplatelet therapies.

Earlier & Faster: Combining ML and HT-PBPK to Accelerate Early Small Molecule Drug Discovery

Earlier & Faster: Combining ML and HT-PBPK to Accelerate Early Small Molecule Drug Discovery

Authors: Bassani D, Lawless M
Software: ADMET Predictor®

Accurately predicting the pharmacokinetics (PK) of small-molecule candidates early in discovery can accelerate optimization cycles, reduce animal testing, and improve the quality of compounds advancing toward the clinic.

Pharmacokinetic Evaluation of Etoricoxib 120mg Tablets in Healthy Human Pakistani Volunteers: In-Vivo In-Silico Bridging for Bioequivalence

Pharmacokinetic Evaluation of Etoricoxib 120mg Tablets in Healthy Human Pakistani Volunteers: In-Vivo In-Silico Bridging for Bioequivalence

Publication: Pakistan J Pharma Sci
Software: GastroPlus®

Etoricoxib is a selective cyclooxygenase-2 inhibitor widely used for the treatment of pain and inflammatory conditions.

In Silico Designing of Palbociclib Loaded Plga Long-Acting Intramuscular Injection for Palliative Therapy of HR+/HER2− Metastatic Breast Cancer

In Silico Designing of Palbociclib Loaded Plga Long-Acting Intramuscular Injection for Palliative Therapy of HR+/HER2− Metastatic Breast Cancer

Publication: J Pharm Pharmacol
Software: GastroPlus®

Palbociclib (PBB) is an oral cyclin-dependent kinase 4/6 (CDK4/6) inhibitor approved for the treatment of HR+/HER2− breast cancer.

ADMET Predictor® Tutorial Series: Deployment and Licensing

ADMET Predictor® Tutorial Series: Deployment and Licensing

Authors: Jamois E
Software: ADMET Predictor®
Division: Cheminformatics

This tutorial provides a deep dive into the unique concurrent licensing model of ADMET Predictor®. Learn how to view license status, manage check-ins/check-outs for property modules, and use the MedChem Designer™ interface to perform calculations without consuming the main predictor license pool.

ADMET Predictor® Tutorial Series: 3D Functionality Part 2

ADMET Predictor® Tutorial Series: 3D Functionality Part 2

Authors: Miller D
Software: ADMET Predictor®
Division: Cheminformatics

This tutorial explores the 3D virtual screening capabilities within ADMET Predictor®. Learn how to build massive 3D conformer databases, execute high-speed similarity searches using GPU acceleration, and refine results by combining shape overlap with pharmacophore feature alignment.

ADMET Predictor® Tutorial Series: 3D Functionality Part 1

ADMET Predictor® Tutorial Series: 3D Functionality Part 1

Authors: Miller D
Software: ADMET Predictor®
Division: Cheminformatics

This tutorial introduces the built-in 3D capabilities of ADMET Predictor®. Learn how to generate single 3D conformers for property prediction, use the MMFF94S force field for energy minimization, and link external visualization tools like Avogadro to inspect molecular geometries.

ADMET Predictor® Tutorial Series: Python Module 1

ADMET Predictor® Tutorial Series: Python Module 1

Authors: Bachorz RA
Software: ADMET Predictor®
Division: Cheminformatics

This tutorial introduces the PI-ADMET Predictor module. Using a Jupyter Notebook environment, it demonstrates how to combine ADMET Predictor’s powerful algorithms with the Python ecosystem for tasks like SMILES standardization, property calculation via REST API, and metabolite visualization.

ADMET Predictor® Tutorial Series: Command Line (Including Linux) Part 2

ADMET Predictor® Tutorial Series: Command Line (Including Linux) Part 2

Authors: Lawless M
Software: ADMET Predictor®
Division: Cheminformatics

This second part of the command line series dives into advanced HTTPK simulation options, including generating CP time curves and utilizing custom .hia parameter files. It also provides a comprehensive guide to Linux installation, licensing with Flexera, and executing shell scripts for automated property predictions.

ADMET Predictor® Tutorial Series: Command Line (Including Linux) Part 1

ADMET Predictor® Tutorial Series: Command Line (Including Linux) Part 1

Authors: Lawless M
Software: ADMET Predictor®
Division: Cheminformatics

This tutorial introduces the Command Line Interface (CLI) for ADMET Predictor® 12. Learn how to use essential flags like -t for input types and -n for multi-threaded processing, and explore specialized workflows for medicinal chemists, physical chemists, and computational scientists.

ADMET Predictor® Tutorial Series: Rest API Part 2

ADMET Predictor® Tutorial Series: Rest API Part 2

Authors: Miller D
Software: ADMET Predictor®
Division: Cheminformatics

This second part of the REST API series demonstrates how different client applications—from Spotfire to Python scripts—interact with the ADMET Predictor REST API. Watch real-time examples of HTTP requests and responses, including property predictions, image generation, and pharmacokinetic simulations.

ADMET Predictor® Tutorial Series: Rest API Part 1

ADMET Predictor® Tutorial Series: Rest API Part 1

Authors: Miller D
Software: ADMET Predictor®
Division: Cheminformatics

This first part of a two-video series explains how to set up the ADMET Predictor REST API server. Follow the step-by-step process for installing the Windows service, configuring license server paths, and managing support folders for seamless property predictions in third-party tools.

ADMET Predictor® Tutorial Series: Transporter Models

ADMET Predictor® Tutorial Series: Transporter Models

Authors: Jamois E
Software: ADMET Predictor®
Division: Cheminformatics

This tutorial by Simulations Plus focuses on the Transporters Module in ADMET Predictor®. Understand the role of transporters in drug exposure and toxicity, and learn how to use the 24 built-in substrate and inhibitor models to screen compound libraries.

ADMET Predictor® Tutorial Series: Toxicity Predictions

ADMET Predictor® Tutorial Series: Toxicity Predictions

Authors: Lawless M
Software: ADMET Predictor®
Division: Cheminformatics

This tutorial covers the comprehensive Toxicity Module in ADMET Predictor®. Learn about hERG channel inhibition, Ames mutagenicity strains, and how these individual models contribute to the overall Tox Risk score.