SMAG AI Blog

High Failure Rates: The majority of drugs fail before they ever see patients, wasting time and resources.
Complex Biology: It is difficult to predict how the human body will react to a drug due to its complex anatomy.
Strict Regulations: Patient safety is the highest priority, so approval procedures are lengthy.

Q1: What is a QSAR model, and why is it important in drug development?

Q2: How does Smag AI enhance QSAR modelling?

Q3: What are the benefits of using QSAR models in early-stage drug discovery?

Q4: What challenges are associated with QSAR model integration?

Q5: Can QSAR models predict toxicity profiles of compounds?