Virtual Docking, design and in silico ADMET profiling of novel Rho-associated protein kinases-1 (ROCK1) inhibitors

Virtual Docking, design and in silico ADMET profiling of novel Rho-associated protein kinases-1 (ROCK1) inhibitors

Publication: 2nd International Conference on Chemo and BioInformatics, Kragujevac, September 28-29, 2023, Serbia
Software: ADMET Predictor®

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

Application of PBBM and virtual bioequivalence to support formulation development and define dissolution specification, two case studies

Authors: Nabais E, Martins F
Software: GastroPlus®
Division: Simulations Plus

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.

Formulation development, in vivo bioequivalence and pediatric PBPK modeling studies of taste-masked ciprofloxacin chewable tablets

Formulation development, in vivo bioequivalence and pediatric PBPK modeling studies of taste-masked ciprofloxacin chewable tablets

Publication: Sci Rep
Software: GastroPlus®

A taste-masked chewable tablet of ciprofloxacin using ion exchange resin Kyron T-134 for enhancing compliance for the paediatric population was developed.

Combined data-driven and mechanism-based approaches for human-intestinal-absorption prediction in the early drug-discovery stage

Combined data-driven and mechanism-based approaches for human-intestinal-absorption prediction in the early drug-discovery stage

Publication: Digital Discov
Software: ADMET Predictor®

It is important to precisely predict the intestinal absorption ratio (Fa) at an early stage in the discovery of orally available drugs because it directly influences drug efficacy.

Physiologically based absorption modeling to predict the bioequivalence of two cilostazol formulations

Physiologically based absorption modeling to predict the bioequivalence of two cilostazol formulations

Publication: Clin Transl Sci
Software: GastroPlus®

In vivo pharmacokinetic simulations and virtual bioequivalence (BE) evaluation of cilostazol have not yet been described for humans.

Comprehensive evaluation of the pharmacological and toxicological effects of γ-valerolactone as compared to γ-hydroxybutyric acid: Insights from in vivo and in silico models

Comprehensive evaluation of the pharmacological and toxicological effects of γ-valerolactone as compared to γ-hydroxybutyric acid: Insights from in vivo and in silico models

Publication: Drug Alcohol Dep
Keywords: GB, GHB, GHV, GVL
Software: ADMET Predictor®
Therapeutic Areas: CNS

Γ-valerolactone (GVL), marketed online as “Tranquilli-G” and “excellent Valium”, is used as a legal substitute for γ-hydroxybutyric acid (GHB); however, until now, GVL has only been connected to one Drug-Facilitated Sexual Assault (DFSA) case.

A Machine Learning Framework to Improve Rat Clearance Predictions and Inform Physiologically Based Pharmacokinetic Modeling

A Machine Learning Framework to Improve Rat Clearance Predictions and Inform Physiologically Based Pharmacokinetic Modeling

Publication: Mol Pharm
Software: ADMET Predictor®
Division: Simulations Plus

During drug discovery and development, achieving appropriate pharmacokinetics is key to establishment of the efficacy and safety of new drugs.

Ligand Based Pharmacophore Modeling, Virtual Screening, Molecular Docking, Molecular Dynamic simulation and In-silico ADMET Studies for the Discovery of Potential BACE-1 Inhibitors

Ligand Based Pharmacophore Modeling, Virtual Screening, Molecular Docking, Molecular Dynamic simulation and In-silico ADMET Studies for the Discovery of Potential BACE-1 Inhibitors

Publication: Research Square
Software: ADMET Predictor®
Therapeutic Areas: CNS

Pharmacophore modeling is an innovative technology to explore and extract potential interactions between ligand-protein complexes.