Pharmacodynamic Effects of Sulbactam/Meropenem/Polymyxin-B Combination Against Extremely Drug Resistant Acinetobacter baumannii Using Checkerboard Information

Pharmacodynamic Effects of Sulbactam/Meropenem/Polymyxin-B Combination Against Extremely Drug Resistant Acinetobacter baumannii Using Checkerboard Information

Publication: Microbial Drug Resis
Division: PBPK

Aim: The aims of the study are to evaluate the activity of sulbactam, meropenem, and polymyxin B alone and in combination against six isolates of extremely drug resistant...

Complementary HPLC, in silico toxicity, and molecular docking studies for investigation of the potential influences of gastric acidity and nitrite content on paracetamol safety

Complementary HPLC, in silico toxicity, and molecular docking studies for investigation of the potential influences of gastric acidity and nitrite content on paracetamol safety

Publication: Microchemical J
Software: ADMET Predictor®

This study was initiated for investigating the possible gastro-transformations that may affect the integrity and safety of the most commonly administered analgesic and antipyretic, paracetamol (PCM).

Bridging in vitro dissolution and in vivo exposure for acalabrutinib. Part I. Mechanistic modelling of drug product dissolution to derive a P-PSD for PBPK model input

Bridging in vitro dissolution and in vivo exposure for acalabrutinib. Part I. Mechanistic modelling of drug product dissolution to derive a P-PSD for PBPK model input

Publication: Eur J Pharm Biopharm
Software: GastroPlus®

Drug product dissolution for four batches of acalabrutinib 100 mg capsules were analyzed with in vitro dissolution in various pH conditions and in media containing synthetic surfactant micelles or biorelevant micelles.

Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery

Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery

Publication: Chem Rev
Software: ADMET Predictor®

Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides opportunities for the discovery and development of innovative drugs.

Integration of In Silico Pharmacokinetic Modeling Approaches Into In Vitro Dissolution Profiles to Predict Bioavailability of a Poorly Soluble Compound

Integration of In Silico Pharmacokinetic Modeling Approaches Into In Vitro Dissolution Profiles to Predict Bioavailability of a Poorly Soluble Compound

Publication: J Pharm Sci
Software: GastroPlus®

The objective of present study is to develop pharmacokinetic (PK) prediction methods using in silico PK model for oral immediate release drug products (i.e. solution, suspension, and amorphous solid dispersion).

Reactivation potency of two novel oximes (K456 and K733) against paraoxon-inhibited acetyl and butyrylcholinesterase: In silico and in vitro models

Reactivation potency of two novel oximes (K456 and K733) against paraoxon-inhibited acetyl and butyrylcholinesterase: In silico and in vitro models

Publication: Chem Biol Interact
Software: ADMET Predictor®

Organophosphates (OPs) irreversibly inhibit acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) enzymes.

Verubecestat Pharmacokinetic and Exposure-Response Results From APECS, a Phase 3 Trial in Prodromal Alzheimer’s Disease

Verubecestat Pharmacokinetic and Exposure-Response Results From APECS, a Phase 3 Trial in Prodromal Alzheimer’s Disease

Publication: Alzheimer’s & Dementia

The BACE inhibitor verubecestat (MK-8931) demonstrated cognitive and functional decline relative to placebo in a 2-year Phase 3 trial of individuals with prodromal AD (APECS; NCT01953601), along with...