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Revisiting Structure-Based Filtering for AI-Designed Antibodies: Opportunities, Limits, and What Matters
AI antibody design can generate far more candidates than can be experimentally tested, making post-generation filtering a central bottleneck. We study whether structure-prediction outputs can help prioritize AI-designed antibodies for experimental validation. We evaluate this problem on 4,184 experi
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