Antipsychotic drugs formulated as long-acting injectables (LAIs) significantly improve patient compliance compared to regimens that require daily oral administration.
Physiologically Based Pharmacokinetic (PBPK) Modeling of Fexofenadine and Assessment of Transporter DDIs of Fexofenadine with P-gp inducers and inhibitors
Fexofenadine (FEX), a H1-receptor antagonist used in the treatment of allergic rhinitis and chronic idiopathic urticaria, undergoes minimal metabolism and transporters play a major role in its absorption and disposition.
Physiologically Based Pharmacokinetic (Pbpk) Oral Absorption Model To Predict Mucosal Permeability of Oral Cavity Drug Products
Buccal delivery allows bypassing first-pass metabolism
Early Drug Discovery Timeline Acceleration
Unleash the Power of AI for Early Drug Discovery
ADMET Predictor Features & Functionality Comparison
Accurate and actionable ADMET predictions rely on premium data and proven algorithms.
AIDD Pythia Flyer
Use CDIAM and the AIDD platform in ADMET Predictor to take your program from target indication to optimized lead candidate
Metformin inhibits digestive proteases and impairs protein digestion in mice
Metformin is among the most prescribed medications worldwide and the first-line therapy for type 2 diabetes.
Comprehensive Physiologically Based Pharmacokinetic Model to Assess Drug–Drug Interactions of Phenytoin
Regulatory agencies worldwide expect that clinical pharmacokinetic drug–drug interactions (DDIs) between an investigational new drug...
October 2023 News/Events
Using ionization modeling to inform drug discovery and decision-making
Capture and Use of Meaningful Data for Population PK/PD Analysis with Non-Linear Mixed Effects Modeling
Your model is only as good as your data!
October 2023 GastroPlus Newsletter
GastroPlus® Newsletter October 2023
NAFLDsym® Flyer
Predict and prevent metabolic dysfunction-associated fatty liver disease and MASH.
Population pharmacokinetic modelling to confirm weight-based banded dosing and exposure-response efficacy analyses to support trofinetide treatment in rett syndrome
Trofinetide, a synthetic analog of glycine-proline-glutamate, was approved by the US Food and Drug Administration in March 2023 for the treatment of...
Preclinical Pharmacokinetics and Translational Pharmacokinetic/Pharmacodynamic Modeling of M8891, a Potent and Reversible Inhibitor of Methionine Aminopeptidase 2
M8891 is a selective and reversible inhibitor of methionine aminopeptidase 2 (MetAP2).
Pharmacokinetics of the novel 5-HT4 receptor agonist, DA-6886, in dogs
The pharmacokinetics of a new 5-hydroxytryptamine receptor 4 agonist, DA-6886, intended for the treatment of constipation-predominant irritable bowel syndrome...
Population Pharmacokinetics of Molnupiravir in Adults With COVID-19: Lack of Clinically Important Exposure Variation Across Individuals
Effective antiviral treatments for coronavirus disease 2019 (COVID-19) are needed to reduce the morbidity and mortality associated with severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection, particularly...
From Target Identification to Novel Lead: How Multi-omics Analysis and AI-driven Drug Design Can Accelerate Early Drug Discovery
One of the key areas for optimization in the drug development process is the discovery stage. Traditional methods are time-consuming and often produce leads that ultimately fail.
Comparative Evaluation of Particle Size Reduction, Salt Formation, and Amorphous Formulation on the Biopharmaceutical Performance of a Weak Base Drug Candidate
Various approaches have been developed to enhance the solubility or dissolution rate for the delivery of poorly water-soluble molecules.
Virtual Docking, design and in silico ADMET profiling of novel Rho-associated protein kinases-1 (ROCK1) inhibitors
Overexpression of Rho-associated protein kinases has been associated with various diseases, including tumors.
Application of PBBM and virtual bioequivalence to support formulation development and define dissolution specification, two case studies
During this webinar, we will shed light on the key benefits and practical implications of utilizing in-silico modeling for formulation development, biopharmaceutical predictions, and bioequivalence studies.