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Computational method for predicting intramolecular and intermolecular biopolymer interactions

机译:预测分子内和分子间生物聚合物相互作用的计算方法

摘要

Disclosed is a computational method for predicting intramolecular and intermolecular biopolymer interactions which provides an improved way of determining structure and function information, including intramolecular and intermolecular interactions using an ab initio-type approach, i.e. using only sequence information. The method is a widely applicable sequence-mining tool capable of detecting both intramolecular and intermolecular interactions for all biopolymers, including, but not limited to, DNA, RNA and protein. It possesses an adaptive screening process that allows for high accuracy. It can be an entirely rule-free, unbiased methodology, and thus can detect novel interactions for all biopolymers. Due to the incorporation of a misalignment process, it can be used iteratively and is capable of refining its own predictions and detecting and managing errors. Therefore, the disclosed method also provides a technique for more accurately determining (and refining) sequence alignments.
机译:公开了一种预测分子内和分子间生物聚合物相互作用的计算方法,该方法提供了一种改进的确定结构和功能信息的方法,包括使用从头算型方法,即仅使用序列信息来确定分子内和分子间的相互作用。该方法是一种广泛适用的序列挖掘工具,能够检测所有生物聚合物的分子内和分子间相互作用,包括但不限于DNA,RNA和蛋白质。它具有自适应筛选过程,可以实现高精度。它可以是完全无规则,无偏见的方法,因此可以检测所有生物聚合物的新颖相互作用。由于合并了未对准过程,因此可以迭代使用它,并且能够完善自己的预测以及检测和管理错误。因此,所公开的方法还提供了用于更准确地确定(和改善)序列比对的技术。

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