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《Nature》定制 CRISPR-Cas9 PAM 变体:高通量工程与机器学习携手解锁精 ...
工程化和表征蛋白质耗时又繁琐,且通用型 CRISPR-Cas 酶存在脱靶风险。研究人员结合高通量蛋白质工程与机器学习,开发出 PAM ML 算法(PAMmla),筛选出高效特异的 SpCas9 酶,能减少脱靶,推动定制酶在基因编辑中的应用。 工程化和表征蛋白质可能既耗时又麻烦 ...
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