Traditional computational drug discovery relies almost exclusively on highly task-specific computational models for hit identification and lead optimization. Adapting these specialized models to new tasks requires substantial time, computational power, and expertise��challenges that grow when researchers simultaneously work across multiple targets or properties.
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