A simple compound prioritization method for drug discovery considering multi-target binding

Key Points

• To develop a prioritization method for drug candidates that considers multiple properties influencing drug utility.
• Applied active learning to prioritize compounds for drug discovery.
• Considered multi-target binding properties in the evaluation process.
• Optimized compounds not just for potency but for overall utility.
• Identified compounds with enhanced multi-target binding capabilities.
• Demonstrated an increase in compound utility compared to traditional methods.
• Showed that prioritizing multi-target properties can improve drug discovery outcomes.