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The study focused on identifying the interaction patterns of 177 regulatory proteins involved with human genetic structures, after conducting over 4,000 experiments over eight years. The results showed that these proteins recognize a flexible range of DNA sequences, helping to improve understanding of gene regulation and the impact of genetic mutations. The researchers were able to predict with up to 75% accuracy how small genetic variations influence protein binding, enhancing the ability of genomic research to interpret diseases and develop artificial intelligence models in this field.
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