STRUCTFAST: Protein sequence remote homology detection and alignment using novel dynamic programming and profile-profile scoring

被引:19
作者
Debe, Derek A.
Danzer, Joseph F.
Goddard, William A.
Poleksic, Aleksandar [1 ]
机构
[1] Univ No Iowa, Dept Comp Sci, Cedar Falls, IA 50614 USA
[2] Eidogen Sertanty Inc, San Diego, CA 92121 USA
[3] CALTECH, Mat & Proc Simulat Ctr, Pasadena, CA 91106 USA
关键词
protein structure; homology modeling; comparative modeling; alignment algorithms; alignment statistics;
D O I
10.1002/prot.21049
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
STRUCTFAST is a novel profile-profile alignment algorithm capable of detecting weak similarities between protein sequences. The increased sensitivity and accuracy of the STRUM FAST method are achieved through several unique features. First, the algorithm utilizes a novel dynamic programming engine capable of incorporating important information from a structural family directly into the alignment process. Second, the algorithm employs a rigorous analytical formula for profile-profile scoring to overcome the limitations of ad hoc scoring functions that require adjustable parameter training. Third, the algorithm employs Convergent Island Statistics (CIS) to compute the statistical significance of alignment scores independently for each pair of sequences. STRUCTFAST routinely produces alignments that meet or exceed the quality obtained by an expert human homology modeler, as evidenced by its performance in the latest CAFASP4 and CASP6 blind prediction benchmark experiments.
引用
收藏
页码:960 / 967
页数:8
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