Virtual screening using covalent docking to find activators for G245S mutant p53

Virtual screening using covalent docking to find activators for G245S mutant p53

Publication: PLoS One
Software: ADMET Predictor®

TP53 is the most mutated gene in all cancers. The mutant protein also accumulates in cells. The high frequency of p53 mutations makes the protein a promising target for anti-cancer therapy.

In Vivo Predictive Dissolution and Simulation Workshop Report: Facilitating the Development of Oral Drug Formulation and the Prediction of Oral Bioperformance

In Vivo Predictive Dissolution and Simulation Workshop Report: Facilitating the Development of Oral Drug Formulation and the Prediction of Oral Bioperformance

Publication: AAPS J
Software: GastroPlus®

A 2-day workshop entitled “In Vivo Predictive Dissolution and Simulation” was held September 11–12, 2017 in Washington, DC, focused on the selection of applications, methodologies, and...

Exploring pharmacological mechanisms of Xueshuan-Xinmai-Ning tablets acting on coronary heart disease based on drug target-disease gene interaction network

Exploring pharmacological mechanisms of Xueshuan-Xinmai-Ning tablets acting on coronary heart disease based on drug target-disease gene interaction network

Publication: Phytomedicine
Software: MedChem Studio™

Xueshuan-Xinmai-Ning Tablet (XXNT), a commercially available patent drug, has been extensively used in the treatment of coronary heart disease (CHD) with a satisfying therapeutic efficacy.

Computational screening of known broad-spectrum antiviral small organic molecules for potential influenza HA stem inhibitors

Computational screening of known broad-spectrum antiviral small organic molecules for potential influenza HA stem inhibitors

Publication: PLoS One
Keywords: 2D sketching, SMILES

With the emergence of new influenza virus strains that are resistant to current inhibitors such as oseltamivir (anti-neuraminidase (NA)) and amantadine (anti-M2 proton channel), influenza A viruses...

Prediction of Safety Margin and Optimization of Dosing Protocol for a Novel Antibiotic using Quantitative Systems Pharmacology Modeling

Prediction of Safety Margin and Optimization of Dosing Protocol for a Novel Antibiotic using Quantitative Systems Pharmacology Modeling

Publication: Clin Transl Sci
Software: DILIsym®
Division: DILIsym Services

Elevations of liver enzymes have been observed in clinical trials with BAL30072, a novel antibiotic. In vitro assays have identified potential mechanisms for the observed hepatotoxicity, including...

Evaluation and Optimization of Pharmacokinetic Models for in Vitro to in Vivo Extrapolation of Estrogenic Activity for Environmental Chemicals

Evaluation and Optimization of Pharmacokinetic Models for in Vitro to in Vivo Extrapolation of Estrogenic Activity for Environmental Chemicals

Publication: Environ Health Perspect
Software: GastroPlus®

To effectively incorporate in vitro data into regulatory use, confidence must be established in the quantitative extrapolation of in vitro activity to relevant end...

Preclinical models for colonic absorption, application to controlled release formulation development

Preclinical models for colonic absorption, application to controlled release formulation development

Publication: Eur J Pharm Biopharm
Software: GastroPlus®

Oral controlled release (CR) formulations have many benefits and have become a valuable resource for the local and systemic administration of drugs.

Discussions on the hepatic well-stirred model: Re-derivation from the dispersion model and re-analysis of the lidocaine data

Discussions on the hepatic well-stirred model: Re-derivation from the dispersion model and re-analysis of the lidocaine data

Authors: Dong J, Park MS
Publication: Eur J Pharm Sci
Division: Simulations Plus

Roberts and Rowland explained the well-stirred model as an extreme case of the dispersion model when the dispersion number is infinity.

Characterization of solution stress degradation products of aliskiren and prediction of their physicochemical and ADMET properties

Characterization of solution stress degradation products of aliskiren and prediction of their physicochemical and ADMET properties

Publication: Eur J Pharm Sci
Software: ADMET Predictor®

Forced degradation studies on aliskiren were carried out according to ICH and WHO guidelines. Six degradation products were formed in total in the solution state.

A bifunctional nociceptin and mu opioid receptor agonist is analgesic without opioid side effects in nonhuman primates

A bifunctional nociceptin and mu opioid receptor agonist is analgesic without opioid side effects in nonhuman primates

Publication: Science Translational Medicine
Division: Simulations Plus

Misuse of prescription opioids, opioid addiction, and overdose underscore the urgent need for developing addiction-free effective medications for treating severe pain.

Retention characteristics of some antibiotic and anti-retroviral compounds in hydrophilic interaction chromatography using isocratic elution, and gradient elution with repeatable partial equilibration

Retention characteristics of some antibiotic and anti-retroviral compounds in hydrophilic interaction chromatography using isocratic elution, and gradient elution with repeatable partial equilibration

Publication: Analytica Chimica Acta
Software: ADMET Predictor®

The separation of some zwitterionic, basic and neutral antibiotic and antiretroviral compounds was studied using hydrophilic interaction chromatography (HILIC) on bare silica, bonded amide and urea superficially porous phases.

Physiological Considerations and In Vitro Strategies for Evaluating the Influence of Food on Drug Release from Extended-Release Formulations

Physiological Considerations and In Vitro Strategies for Evaluating the Influence of Food on Drug Release from Extended-Release Formulations

Publication: AAPS PharmSciTech

Food effects on oral drug bioavailability are a consequence of the complex interplay between drug, formulation and human gastrointestinal (GI) physiology.

Applications of Clinically Relevant Dissolution Testing: Workshop Summary Report

Applications of Clinically Relevant Dissolution Testing: Workshop Summary Report

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

This publication summarizes the proceedings of day 3 of a 3-day workshop on “Dissolution and Translational Modeling Strategies Enabling Patient-Centric Product Development.”

Impact of Drug Physicochemical Properties on Lipolysis-triggered Drug Supersaturation and Precipitation from Lipid-Based Formulations

Impact of Drug Physicochemical Properties on Lipolysis-triggered Drug Supersaturation and Precipitation from Lipid-Based Formulations

Publication: Mol Pharm
Software: ADMET Predictor®

In this study we investigated lipolysis-triggered supersaturation and precipitation of a set of model compounds formulated in lipid-based formulations (LBFs).

Applications of Multi-Class Machine Learning Models to Drug Design

Applications of Multi-Class Machine Learning Models to Drug Design

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

Until recently, machine learning classification models in Cheminformatics literature have generally modeled binary endpoints (active/inactive, substrate/non-substrate, toxic/non-toxic, etc.)

Assessing the potential of solid dispersions to improve dissolution rate and bioavailability of valsartan: In vitro-in silico approach

Assessing the potential of solid dispersions to improve dissolution rate and bioavailability of valsartan: In vitro-in silico approach

Publication: Eur J Pharm Sci
Software: GastroPlus®

This study aimed to improve dissolution rate of valsartan in an acidic environment and consequently its oral bioavailability by solid dispersion formulation.

Using DILIsym, A Quantitative Systems Toxicology (QST) Software Tool of Drug-Induced Liver Injury (DILI), To Assess DILI Risk in Drug Development

Using DILIsym, A Quantitative Systems Toxicology (QST) Software Tool of Drug-Induced Liver Injury (DILI), To Assess DILI Risk in Drug Development

Authors: Howell BA
Conference: BIT IDDST
Software: DILIsym®
Division: DILIsym Services

A combination of multiple mechanistic, in silico modeling approaches can facilitate drug discovery (QSAR, PBPK, QSP and QST).