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An Effective Cumulative Torsion Folding Model for Prediction of Protein Folding Rates

机译:一种有效累积扭转折叠模型,用于预测蛋白质折叠率

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Background: Protein folding rate is mainly determined by the size of the conformational space to search, which in turn is dictated by factors such as size, structure and amino-acid sequence in a protein. It is important to integrate these factors effectively to form a more precisely description of conformation space. But there is no general paradigm to answer this question except some intuitions and empirical rules. Therefore, at the present stage, predictions of the folding rate can be improved through finding new factors, and some insights are given to the above question.
机译:背景:蛋白质折叠速率主要由要搜索的构象空间的尺寸决定,这反过来被蛋白质中的尺寸,结构和氨基酸序列等因素决定。 重要的是要有效地整合这些因素,以形成更精确的构象空间描述。 但除了一些直觉和经验规则之外,没有一般范式来回答这个问题。 因此,在当前阶段,通过找到新因素可以提高折叠率的预测,并且对上述问题提供了一些见解。

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