Artificial Intelligence, Technology, Machine Learning, Simulated Biomedicine, Science.
SVM model learns, through training, how to find the best hyperplane that separates the promising inhibitor candidates (if any) from the non-inhibitors (e.g., the rest of the ZINC database). Once the SVM was trained, it could predict the likelihood of binding the drug compounds to the target protein