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Antibody-antigen complexes are complex and variable.
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Antibodies provide high specificity over small molecules.
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AI models, like AlphaFold 3, enhance structure prediction.
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Benchmarking is crucial for improving drug design methodologies.
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Confidence metrics can assist in evaluating the accuracy of AI models.
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AI has helped unlock potential therapeutics for complex targets.
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Challenges remain in predictive performance and data limitations.
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Ethical imperatives drive the need for better AI efficacy in drug design.
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