ADMET Predictor 13 is almost here—and in this webinar, you’ll see how it gives your organization the First-to-Invent Advantage! Drs. David Miller, Vice President, ADMET Cheminformatics, and Michael Lawless, Sr. Principal Scientist, Cheminformatics Solutions walk you through the latest version of the software...
Predicting Brinzolamide Ocular Response in Humans Using an Ocular PBPK-PD Modeling and Simulation
The development of generic ophthalmic drug products indicated for intraocular pressure (IOP) reduction typically relies on comparative pharmacodynamic (PD) endpoint bioequivalence (BE) studies.
Intestinal Secretion Is a Potentially Important Clearance Mechanism for Low Metabolic Clearance Compounds
Intestinal excretion/secretion (IE) from the systemic circulation via the enterocytes into the intestinal lumen has traditionally been considered a minor clearance (CL) pathway.
Framework for Classifying Chemicals for Repeat Dose Toxicity Using NAMs
EPAA’s ‘NAM Designathon 2023’ challenge for human toxicity sought to identify a classification system capable of categorising chemicals based on their bioactivity and bioavailability properties determined using non-animal methodologies (Worth et al. 2025).
Multi-target Property Prediction and Optimization Using Latent Spaces of Generative Model
Multi-target property prediction has the potential to improve generalization by exploiting the positive transfer between targets.
Beyond the Lab: FDA’s Vision for Modeling a Future Without Animal Testing
The FDA has released a new roadmap outlining a path toward reducing—and ultimately replacing—animal studies in pharmaceutical development with new approach methodologies (NAMs), beginning with monoclonal antibodies.
Accessing DDI Standards in the Simulations Plus Training Portal
Your GastroPlus DDI Module license grants you access to our DDI reports and databases through the Simulations Plus Training Portal. You must register on the portal with your company email address in order to access these resources.
Simulations Plus Releases DILIsym® 11
Newest version of the quantitative systems toxicology (QST) software supports drug-induced liver injury (DILI) prediction for pediatric patient populations
Drug-Induced Liver Injury: A Look at QST Modeling and AI Predictions
As AI tools gain traction in drug development, there is growing enthusiasm around their potential to predict drug-induced liver injury (DILI).
Beyond the Linear Model in Concentration-QT Analysis
The white-paper regression model is the standard method for assessing QT liability of drugs.
Smarter Clinical Development: How to Use QSP to Maximize the Value of GLP-1 Agonists
As the market for GLP-1 agonists expands, biotech companies face both immense opportunity and fierce competition. To stand out in this evolving landscape and enhance the likelihood of acquisition or out-licensing, early-stage companies must develop a strategic, data-driven clinical development plan.
A Well-Characterized Mechanistic Model for Exploring Known or Hypothesized T cell Mediated Drug Induced Liver Injury: Current Capabilities and Challenges for Future Predictivity
Drug-induced liver injury (DILI) is an adverse event whose emergence can slow or halt drug development programs.
Phasing Out Animal Testing: Responding to FDA and EMA’s Strategic Shifts
Both the U.S. Food and Drug Administration (FDA) (1) and the European Medicines Agency (EMA) (2) have articulated clear regulatory expectations for the implementation and advancement of non-animal methods, known as new approach methodologies (NAMs).
Role of Physiologically Based Biopharmaceutics Modeling in Predicting and Circumventing the Drug-Drug Interactions of Tyrosine Kinase Inhibitors with Acid-Reducing Agents
Tyrosine kinase inhibitors (TKIs) are molecular targeting agents used to treat various types of cancer. During the treatment with TKIs, acid-reducing agents (ARAs) are prescribed to prevent gastric mucosal damage.
Role of Physiologically Based Biopharmaceutics Modeling in Predicting and Circumventing the Drug-Drug Interactions of Tyrosine Kinase Inhibitors with Acid-Reducing Agents
Tyrosine kinase inhibitors (TKIs) are molecular targeting agents used to treat various types of cancer.
Evaluation of Violacein Metabolic Stability and Metabolite Identification in Human, Mouse, and Rat Liver Microsomes
Malaria significantly impacts the health of populations living in poverty and vulnerable conditions. Resistance to current antimalarial drugs remains a major challenge and highlights the urgent need for novel, effective, and safer therapies.
Clinical Pharmacology Considerations and Application of Model-Informed Drug Development in the Development of Drugs and Biological Products for Rare Diseases
The challenges of developing drug and biological products for rare diseases
ADME profile of AP-238 – opioid designer drug (CAS: 140924-11-4): first application of multi-in silico approach methodology for comprehensive prediction of ADME profile (absorption, distribution, metabolism and excretion) important for clinical toxicology and forensic purposes
AP-238 is a recently emerged opioid designer drug from the cinnamylpiperazine class, raising increasing concern in forensic and clinical toxicology due to its potential for abuse and limited ADME (absorption, distribution, metabolism, and excretion) profile.
Mastering DDI Risk Assessment: Navigate Complexities of Transporter-Mediated DDIs
Transporters play a critical role in drug absorption, distribution, and elimination, and their involvement in drug-drug interactions (DDIs) can lead to altered drug concentrations and unexpected adverse effects that hamper the effectiveness of the treatment.
Utilizing Physiologically Based Pharmacokinetic Models to Support Rational Medication in Chinese Elderly Population
China is undergoing a pronounced shift towards an aging society, wherein the elderly constitute a prominent demographic relying significantly on medications.