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COMPUTATIONAL METHOD FOR IDENTIFYING ADHESIN AND ADHESIN-LIKE PROTEINS OF THERAPEUTIC POTENTIAL

机译:辨别治疗潜力中的粘附素和类似于粘附素的蛋白质的计算方法

摘要

A computational method for identifying adhesin and adhesin-like proteins, said method comprising steps of computing the sequence-based attributes of a neural network software wherein the attributes are (i) amino acid frequencies, (ii) multiplet frequency, (iii) dipeptide frequencies, (iv) charge composition, and (v) hydrophobic composition, training the artificial neural Network (ANN) for each of the computed five attributes, and identifying the adhesin and adhesin-like proteins having probability of being an adhesin (Pad) as = 0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins. ® KIPO & WIPO 2007
机译:一种鉴定粘附素和粘附素样蛋白的计算方法,所述方法包括计算神经网络软件的基于序列的属性的步骤,其中所述属性是(i)氨基酸频率,(ii)多重频率,(iii)二肽频率,(iv)电荷组成和(v)疏水组成,针对计算出的五个属性中的每一个对人工神经网络(ANN)进行训练,并将有可能成为粘附素(Pad)的粘附素和类似粘附素的蛋白识别为> = 0.51;用于执行该方法的计算机系统;以及编码粘附素和粘附素样蛋白质的基因和蛋白质。 ®KIPO和WIPO 2007

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