CLICK-topology-independent comparison of biomolecular 3D structures

被引:95
作者
Nguyen, M. N. [1 ]
Tan, K. P. [1 ]
Madhusudhan, M. S. [1 ,2 ,3 ]
机构
[1] Bioinformat Inst, Matrix 138671, Singapore
[2] Natl Univ Singapore, Dept Biol Sci, Singapore 117548, Singapore
[3] Nanyang Technol Univ, Sch Biol Sci, Singapore, Singapore
关键词
PROTEIN-STRUCTURE ALIGNMENT; RNA TERTIARY STRUCTURES; TOPOFIT METHOD; WEB SERVER; DATABASE; CLASSIFICATION; REPRESENTATION; ARCHITECTURES; SEQUENCE; STRINGS;
D O I
10.1093/nar/gkr393
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
Our server, CLICK: http://mspc.bii.a-star.edu.sg/click, is capable of superimposing the 3D structures of any pair of biomolecules (proteins, DNA, RNA, etc.). The server makes use of the Cartesian coordinates of the molecules with the option of using other structural features such as secondary structure, solvent accessible surface area and residue depth to guide the alignment. CLICK first looks for cliques of points (3-7 residues) that are structurally similar in the pair of structures to be aligned. Using these local similarities, a one-to-one equivalence is charted between the residues of the two structures. A least square fit then superimposes the two structures. Our method is especially powerful in establishing protein relationships by detecting similarities in structural subdomains, domains and topological variants. CLICK has been extensively benchmarked and compared with other popular methods for protein and RNA structural alignments. In most cases, CLICK alignments were statistically significantly better in terms of structure overlap. The method also recognizes conformational changes that may have occurred in structural domains or subdomains in one structure with respect to the other. For this purpose, the server produces complementary alignments to maximize the extent of detectable similarity. Various examples showcase the utility of our web server.
引用
收藏
页码:W24 / W28
页数:5
相关论文
共 34 条
  • [1] A comprehensive analysis of non-sequential alignments between all protein structures
    Abyzov, Alexej
    Ilyin, Valentin A.
    [J]. BMC STRUCTURAL BIOLOGY, 2007, 7
  • [2] SISYPHUS - structural alignments for proteins with non-trivial relationships
    Andreeva, Antonina
    Prlic, Andreas
    Hubbard, Tim J. P.
    Murzin, Alexey G.
    [J]. NUCLEIC ACIDS RESEARCH, 2007, 35 : D253 - D259
  • [3] A COMPUTER VISION-BASED TECHNIQUE FOR 3-D SEQUENCE-INDEPENDENT STRUCTURAL COMPARISON OF PROTEINS
    BACHAR, O
    FISCHER, D
    NUSSINOV, R
    WOLFSON, H
    [J]. PROTEIN ENGINEERING, 1993, 6 (03): : 279 - 288
  • [4] The Protein Data Bank
    Berman, HM
    Westbrook, J
    Feng, Z
    Gilliland, G
    Bhat, TN
    Weissig, H
    Shindyalov, IN
    Bourne, PE
    [J]. NUCLEIC ACIDS RESEARCH, 2000, 28 (01) : 235 - 242
  • [5] RNA structure alignment by a unit-vector approach
    Capriotti, Emidio
    Marti-Renom, Marc A.
    [J]. BIOINFORMATICS, 2008, 24 (16) : I112 - I118
  • [6] SARA: a server for function annotation of RNA structures
    Capriotti, Emidio
    Marti-Renom, Marc A.
    [J]. NUCLEIC ACIDS RESEARCH, 2009, 37 : W260 - W265
  • [7] Residue depth: a novel parameter for the analysis of protein structure and stability
    Chakravarty, S
    Varadarajan, R
    [J]. STRUCTURE WITH FOLDING & DESIGN, 1999, 7 (07): : 723 - 732
  • [8] Protein structure alignment considering phenotypic plasticity
    Csaba, Gergely
    Birzele, Fabian
    Zimmer, Ralf
    [J]. BIOINFORMATICS, 2008, 24 (16) : I98 - I104
  • [9] The CATH classification revisited-architectures reviewed and new ways to characterize structural divergence in superfamilies
    Cuff, Alison L.
    Sillitoe, Ian
    Lewis, Tony
    Redfern, Oliver C.
    Garratt, Richard
    Thornton, Janet
    Orengo, Christine A.
    [J]. NUCLEIC ACIDS RESEARCH, 2009, 37 : D310 - D314
  • [10] ARTS: alignment of RNA tertiary structures
    Dror, O
    Nussinov, R
    Wolfson, H
    [J]. BIOINFORMATICS, 2005, 21 : 47 - 53