计算机科学 ›› 2015, Vol. 42 ›› Issue (7): 262-264.doi: 10.11896/j.issn.1002-137X.2015.07.056
王彩霞,吕 强,李海鸥,罗 升
WANG Cai-xia, LV Qiang, LI Hai-ou and LUO Sheng
摘要： 蛋白质的进化配对是指在进化过程中残基对之间形成的相对稳定的相互作用。基于已被发现的进化配对,采用机器学习的分类技术,将其转换成残基对之间的距离约束,从而将一种定性的残基对之间的相互作用挖掘为定量的距离约束,这为蛋白质的结构预测提供了新的指导。
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