Unverified50% confidenceBenchmarkExact time
Negative sample learning has improved the protein design success rate from an early 5–10% to over 50% in certain application scenarios.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/10/2026
First Seen
Valid until: 12/9/2026
Sources
Related Entities
Related Claims
UnverifiedNegative sample learning strategies have elevated the design success rate from the early 5–10% to over 50% in certain application scenarios79% similarUnverifiedIn real physical laboratory validation of molecular design, the model achieved a hit rate of nearly 50% across 12 targets, compared to the industry average of approximately 10% to 15%.63% similarUnverified推测解码中当草稿通过率低于50%时，实际加速效果会大打折扣甚至产生负优化62% similarUnverifiedSingle-token output can theoretically achieve a 50x throughput improvement compared to standard generation (assuming 50 decoding steps are required).60% similarUnverifiedResearch shows that when the false positive rate exceeds 50%, the practical value of quality tools approaches zero.60% similar
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