Predicting DNA hybridization kinetics from sequence

Predicting DNA hybridization kinetics from sequence, Published online: 06 November 2017; doi:10.1038/nchem.2877

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The rate constant of DNA hybridization varies over several orders of magnitude and is affected by temperature and DNA sequence. A machine-learning algorithm that is capable of accurately predicting hybridization rate constants has now been developed. Tests with this algorithm showed that over 90% of predictions were correct to within a factor of three.

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中文翻译：

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从序列预测DNA杂交动力学

从序列预测DNA杂交动力学

从序列预测DNA杂交动力学，在线发布：2017年11月6日; doi：10.1038 / nchem.2877

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DNA杂交的速率常数在几个数量级上变化，并受温度和DNA序列的影响。现在已经开发了一种能够精确预测杂交速率常数的机器学习算法。使用此算法进行的测试表明，超过90％的预测正确率为三分之二。

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