ADMET Predictor® Tutorial Series: AIDD Module

ADMET Predictor® Tutorial Series: AIDD Module

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

This tutorial by Simulations Plus introduces the Artificial Intelligence Drug Design (AIDD) module. Discover how to optimize lead compounds for potency, synthetic feasibility, and ADMET properties using multi-objective Pareto optimization.

ADMET Predictor® Tutorial Series: ADMET Modeler

ADMET Predictor® Tutorial Series: ADMET Modeler

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

This comprehensive tutorial by Simulations Plus demonstrates the workflow for building custom machine learning models using ADMET Modeler™. Learn how to prepare data, select descriptors, set up artificial neural network (ANN) ensembles, and validate models with external test sets

ADMET Predictor® Tutorial Series: HTPK Part 3

ADMET Predictor® Tutorial Series: HTPK Part 3

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

In the final part of the HTPK series, Simulations Plus demonstrates how to generate Concentration-Plasma (CP) time profiles for multiple compounds and doses. This tutorial also covers Dose Estimation to meet target plasma concentrations and explores advanced physiological and formulation settings.

ADMET Predictor® Tutorial Series: HTPK Part 2

ADMET Predictor® Tutorial Series: HTPK Part 2

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

In part two of the HTPK series, we explore the Parameter Sensitivity Analysis (PSA) tool to determine whether fraction absorbed is limited by solubility or permeability. The video also demonstrates how to increase simulation accuracy by integrating experimental data alongside in silico predictions

ADMET Predictor® Tutorial Series: HTPK Part 1

ADMET Predictor® Tutorial Series: HTPK Part 1

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

In this first part of the HTPK series, we demonstrate how to run high-throughput pharmacokinetic (HTPK) simulations directly from chemical structures. Learn to calculate fraction absorbed (%FA), fraction bioavailable (%FB), and key PK parameters like Cmax, Tmax, and clearance across multiple doses.

ADMET Predictor® Tutorial Series: MedChem Studio™ Part 2

ADMET Predictor® Tutorial Series: MedChem Studio™ Part 2

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

In the second part of the MedChem Studio™ series, we demonstrate how to evaluate compound subsets and optimize virtual libraries. This tutorial covers distribution analysis to compare virtual vs. exemplified compounds and introduces matched molecular pair (MMP) analysis for property cliff detection.

ADMET Predictor® Tutorial Series: MedChem Studio™ Part 1

ADMET Predictor® Tutorial Series: MedChem Studio™ Part 1

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

In this first installment of the MedChem Studio™ series, we demonstrate powerful clustering and group analysis tools. Learn how to organize large data sets into chemotypes, align scaffolds for visual comparison, and perform R-group decomposition to identify SAR trends

ADMET Predictor® Tutorial Series: Predicting Metabolites

ADMET Predictor® Tutorial Series: Predicting Metabolites

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

In this video, we explore advanced tools for predicting drug metabolites across major enzyme classes, including Cytochrome P450 (SIP), Aldehyde Oxidase (AOX), and UGTs. You will learn how to identify atomic sites of metabolism, interpret scoring systems, and visualize structural transformations within MedChem Designer™.

ADMET Predictor® Tutorial Series: Model Editor

ADMET Predictor® Tutorial Series: Model Editor

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

In this video, we provide a detailed overview of the Model Editor, explaining how to manage prediction modules and interpret applicability domains. Key topics include descriptor sensitivity analysis (DSA), structure sensitivity analysis (SSA), and regression uncertainty.

ADMET Predictor® Tutorial Series: Predicting pKa

ADMET Predictor® Tutorial Series: Predicting pKa

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

In this video, Simulations Plus demonstrates how to predict pKa values and their critical impact on pharmacokinetic properties like solubility and permeability. You will learn how to interpret microstate displays, analyze ionization curves, and understand how pKa influences drug behavior in the GI tract.

ADMET Predictor® Tutorial Series: Working with Data and Graphs

ADMET Predictor® Tutorial Series: Working with Data and Graphs

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

In this video, Simulations Plus explains how to examine data and utilize advanced graphing tools within the platform. Key features include managing spreadsheet columns, creating custom tabs, and visualizing molecular properties through various chart types.

ADMET Predictor® Tutorial Series: Calculating Properties

ADMET Predictor® Tutorial Series: Calculating Properties

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

In this video, we explore the core functionality of calculating chemical and biological properties. It covers selecting specific models, adjusting pH settings, and configuring multi-threading to maximize processing speed.

ADMET Predictor® Tutorial Series: MedChem Designer

ADMET Predictor® Tutorial Series: MedChem Designer

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

In this video, we provide an interactive tutorial on using MedChem Designer to edit, create, and save chemical structures. You will also learn how to calculate ADMET properties directly within the designer and import structures from online resources like DrugBank.