• Integration of machine learning and molecular dynamics simulations improves drug-target interaction prediction accuracy.
• The hybrid pipeline reduces false positives in virtual screening, accelerating lead compound discovery.
• Application to kinase inhibitors demonstrates enhanced performance over traditional methods.
• The approach offers a robust and efficient tool for drug development, potentially reducing time and cost.