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SABA (secondary structure assignment program based on only alpha carbons): a novel pseudo center geometrical criterion for accurate assignment of protein secondary structures

机译:SABA(二级结构分配计划仅基于alpha碳):一种用于精确分配蛋白质二级结构的新型伪中心几何标准

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Most widely used secondary structure assignment methods such as DSSP identify structural elements based on N-H and C=O hydrogen bonding patterns from X-ray or NMR-determined coordinates. Secondary structure assignment algorithms using limited Cα information have been under development as well, but their accuracy is only ~80% compared to DSSP. We have hereby developed SABA (Secondary Structure Assignment Program Based on only Alpha Carbons) with~90% accuracy. SABA defines a novel geometrical parameter, termed a pseudo center, which is the midpoint of two continuous Cαs. SABA is capable of identifying α-helices, 3(10)-helices, and β-strands with high accuracy by using cut-off criteria on distances and dihedral angles between two or more pseudo centers. In addition to assigning secondary structures to Cα-only structures, algorithms using limited Cα information with high accuracy have the potential to enhance the speed of calculations for high capacity structure comparison.
机译:最广泛使用的二级结构分配方法,例如DSSP识别来自X射线或NMR确定的坐标的N-H和C = O氢键图案的结构元素。使用有限Cα信息的二级结构分配算法也在开发中,但与DSSP相比,它们的准确性仅〜80%。我们在此开发了SABA(仅基于alpha碳的二级结构分配计划),精度〜90%。 SABA定义了一种新的几何参数,称为伪中心,这是两个连续Cαs的中点。 SABA能够通过使用截止标准在两个或更多个伪中心之间的距离和二面角的截止标准来识别α-螺旋,3(10) - Helices和β股线。除了将二次结构分配给仅Cα的结构之外,使用具有高精度的有限Cα的算法具有高精度的可能性,可以提高高容量结构比较的计算速度。

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