Introducing SMAG’s ADMET P‑Glycoprotein Substrate Prediction Tool
SMAG is proud to unveil the launch of its P‑Glycoprotein (PGP) Substrate Prediction Tool, now integrated into our platform’s ADMET module...
AI in Predictive Toxicology for Safer Drug Development | SMAG AI
Predictive toxicology—the use of computational approaches to forecast adverse effects in drug candidates—is now critical in modern pharmaceutical research...
Integrating QSAR Models in Early-Stage Drug Development
Quantitative Structure–Activity Relationship (QSAR) models have become indispensable tools in modern drug discovery, particularly during the early stages of drug development...
Molecular Docking Simulations Enhanced by AI
Molecular docking simulations are a cornerstone of modern drug discovery, providing insights into how a drug molecule interacts with a target protein...
Why Drug Discovery Takes So Long & How AI is Speeding It Up
Scientists have spent a decade researching a cure for a rare disease. The lab conducted countless studies, faced difficult setbacks, and followed strict restrictions...