What Challenges Are Associated with ADMET Prediction?
Despite its advantages, ADMET prediction faces several challenges:
Data Quality: The accuracy of predictions heavily depends on the quality and comprehensiveness of the underlying data. Complex Biological Systems: The complexity of human biology can make it difficult to accurately predict all potential interactions. Model Limitations: No model can perfectly mimic the intricacies of biological systems, leading to potential inaccuracies. Integration with Experimental Data: Combining computational predictions with experimental results can be complex and requires careful validation.
