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Predicting DNA hybridization kinetics from sequence
Nature Chemistry ( IF 19.2 ) Pub Date : 2017-11-06 , DOI: 10.1038/nchem.2877 Jinny X. Zhang , John Z. Fang , Wei Duan , Lucia R. Wu , Angela W. Zhang , Neil Dalchau , Boyan Yordanov , Rasmus Petersen , Andrew Phillips , David Yu Zhang
Nature Chemistry ( IF 19.2 ) Pub Date : 2017-11-06 , DOI: 10.1038/nchem.2877 Jinny X. Zhang , John Z. Fang , Wei Duan , Lucia R. Wu , Angela W. Zhang , Neil Dalchau , Boyan Yordanov , Rasmus Petersen , Andrew Phillips , David Yu Zhang
Predicting DNA hybridization kinetics from sequence , isJats=true)
中文翻译:
从序列预测DNA杂交动力学
从序列预测DNA杂交动力学 ,isJats = true)
更新日期:2017-11-06
Predicting DNA hybridization kinetics from sequence, Published online: 06 November 2017; doi:10.1038/nchem.2877
NatureArticleSnippet(type=short-summary, markup=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.
中文翻译:
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
NatureArticleSnippet(type = short-summary,markup =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。