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Alignment of a sparse protein signature with protein sequences: application to fold prediction for three small globulins

机译:稀疏蛋白质标记与蛋白质序列的比对:在三个小球蛋白的折叠预测中的应用

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摘要

>A novel algorithm has been developed for scoring the match between an imprecise sparse signature and all the protein sequences in a sequence database. The method was applied to a specific problem: signatures were derived from the probable folding nucleus and positions obtained from the determined interactions that occur during the folding of three small globular proteins and points of inter-element contact and sequence comparison of the actual three-dimensional structures of the same three proteins. In the case of two of these, lysozyme and myoglobin, the residues in the folding nucleus corresponded well to the key residues spotted by examination of the structures and in the remaining case, barnase, they did not. The diagnostic performance of the two types of signatures were compared for all three proteins. The significance of this for the application of an understanding of the protein folding mechanisms for structure prediction is discussed. The algorithm is generic and could be applied to other user-defined problems of sequence analysis.
机译:已经开发出一种新颖的算法,用于对不精确的稀疏签名与序列数据库中所有蛋白质序列之间的匹配进行评分。该方法适用于一个特定的问题:签名是从可能的折叠核中获得的,位置是从确定的三种小球形蛋白质的折叠过程中发生的相互作用以及元素间接触点和实际三维序列比较中获得的三种蛋白质的结构。在溶菌酶和肌红蛋白这两种情况下,折叠核中的残基与通过检查结构发现的关键残基很好地对应,而在其余情况下,通过芽孢杆菌酶则没有。比较了所有三种蛋白质的两种类型标记的诊断性能。讨论了其对于理解蛋白质折叠机制进行结构预测的意义。该算法是通用算法,可以应用于其他用户定义的序列分析问题。

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