title: Using Variable-Length Aligned Fragment Pairs and an Improved Transition Function for Flexible Protein Structure Alignment.
abstract: With the rapid growth of known protein 3D structures in number, how to efficiently compare protein structures becomes an essential and challenging problem in computational structural biology. At present, many protein structure alignment methods have been developed. Among all these methods, flexible structure alignment methods are shown to be superior to rigid structure alignment methods in identifying structure similarities between proteins, which have gone through conformational changes. It is also found that the methods based on aligned fragment pairs (AFPs) have a special advantage over other approaches in balancing global structure similarities and local structure similarities. Accordingly, we propose a new flexible protein structure alignment method based on variable-length AFPs. Compared with other methods, the proposed method possesses three main advantages. First, it is based on variable-length AFPs. The length of each AFP is separately determined to maximally represent a local similar structure fragment, which reduces the number of AFPs. Second, it uses local coordinate systems, which simplify the computation at each step of the expansion of AFPs during the AFP identification. Third, it decreases the number of twists by rewarding the situation where nonconsecutive AFPs share the same transformation in the alignment, which is realized by dynamic programming with an improved transition function. The experimental data show that compared with FlexProt, FATCAT, and FlexSnap, the proposed method can achieve comparable results by introducing fewer twists. Meanwhile, it can generate results similar to those of the FATCAT method in much less running time due to the reduced number of AFPs.
authors.affiliation: School of Information Science and Engineering, Lanzhou University , Gansu 730000, Lanzhou, China .
authors.forename: Hu
authors.initials: H
authors.lastname: Cao
authors.affiliation: School of Information Science and Engineering, Lanzhou University , Gansu 730000, Lanzhou, China .
authors.forename: Yonggang
authors.initials: Y
authors.lastname: Lu
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D000818:Animals; D019295:Computational Biology / Q000379:methods; D030562:Databases, Protein; D006801:Humans; D010446:Peptide Fragments / Q000737:chemistry*; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry*; D016415:Sequence Alignment / Q000379:methods* / Q000706:statistics & numerical data; D020539:Sequence Analysis, Protein; D012984:Software; D040681:Structural Homology, Protein
chemical_list: D010446:Peptide Fragments; D011506:Proteins
keywords: aligned fragment pairs; dynamic programming; protein structure alignment