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Comparison of P-RnaPredict and mfold - algorithms for RNA secondary structure prediction

机译:P-RnaPredict和mfold-RNA二级结构预测算法的比较

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Motivation: Ribonucleic acid is vital in numerous stages of protein synthesis; it also possesses important functional and structural roles within the cell. The function of an RNA molecule within a particular organic system is principally determined by its structure. The current physical methods available for structure determination are time-consuming and expensive. Hence, computational methods for structure prediction are sought after. The energies involved by the formation of secondary structure elements are significantly greater than those of tertiary elements. Therefore, RNA structure prediction focuses on secondary structure.
机译:动机:核糖核酸在蛋白质合成的多个阶段至关重要。它在细胞内还具有重要的功能和结构作用。 RNA分子在特定有机系统中的功能主要由其结构决定。可用于结构确定的当前物理方法既费时又昂贵。因此,寻求用于结构预测的计算方法。二级结构元素形成所涉及的能量明显大于三级元素。因此,RNA结构预测着眼于二级结构。

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