Innovative Integration of Molecular Docking and Machine Learning for Drug Discovery: From Virtual Screening to Nanomolar Inhibitors

Key Points

• The aim is to showcase a systematic approach for drug discovery through the integration of molecular docking and machine learning techniques.
• Integrating molecular docking with machine learning algorithms
• Utilizing pharmacophore modeling for compound identification
• Conducting virtual screening of potential bioactive leads
• Identified novel strategies for efficient drug discovery
• Demonstrated the effectiveness of nanomolar inhibitors
• Provided a comprehensive framework for integrating computational methods