“To bring more happiness to the world
To bring hope to those who suffer”
To bring hope to those who suffer”
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More and more people are suffering from RNA-binding proteins (RBPs) related diseases, which include cancer, genetic diseases and neurodegeneration mechanisms. If we could find some of these RBP's inhibitors, chances are that these diseases can be cured.
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One great instance is cancer. Studies show that the absence of ADAR1(adenosine deaminase acting on RNA-1) in tumor cells can profoundly sensitize tumours to immunotherapy and overcome resistance to checkpoint blockade.
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Therefore, our project uses directed evolution in order to find these inhibitors, dsRNA becomes a perfect candidate due to its excellent effect at RNA level. Additionlly, we use machine learning algorithms to predict the sequences of dsRNA with high affinity to ADAR1.
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The whole project combines directed evolution with algorithms, and that's why it's called Semi-rational Evolution of ADAR1 inhibitor(SEAi). It provides a reference for screening inhibitors of RBPs and gives a new paradigm to directed evolution of dsRNA.
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