Bieńkowska J R, Rogers R G, Smith T F
BioMolecular Engineering Research Center, College of Engineering, Boston University, MA 02215, USA.
Pac Symp Biocomput. 2000:107-18. doi: 10.1142/9789814447331_0011.
In this paper we address the problem of identifying which of various possible spatial residue-residue neighbor pairs are plausible physical contacts without reference to the native structure side chain geometry. We propose an algorithm that eliminates most of the implausible physical contacts from the fold models. This algorithm exploits the correlations between the amino acid side chain rotamers and the direction of the physical contacts between the amino acid side chains. We use this algorithm to "filter" the score of the sequence-to-structure alignment. Filtering is dynamic, in the sense that the set of neighbor pairs contributing to the alignment score varies during threading. Whether or not a neighbor pair contributes to the score depends on the threaded amino acids. This score filtering improves the accuracy of the predicted sequence-to-structure alignment.
在本文中,我们探讨了在不参考天然结构侧链几何形状的情况下,识别各种可能的空间残基-残基邻对中哪些是合理物理接触的问题。我们提出了一种算法,该算法可从折叠模型中消除大部分不合理的物理接触。此算法利用了氨基酸侧链旋转异构体与氨基酸侧链之间物理接触方向的相关性。我们使用该算法对序列-结构比对的得分进行“过滤”。过滤是动态的,这意味着在穿线过程中,对比对得分有贡献的邻对集合会发生变化。一个邻对是否对得分有贡献取决于穿线的氨基酸。这种得分过滤提高了预测的序列-结构比对的准确性。