Literature DB >> 12968072

Common Structural Cliques: a tool for protein structure and function analysis.

Mariusz Milik1, Sándor Szalma, Krzysztof A Olszewski.   

Abstract

Proposed is a method for locating functionally relevant atoms in protein structures and a representation of spatial arrangements of these atoms allowing for a flexible description of active sites in proteins. The search method is based on comparison of local structure features of proteins that share a common biochemical function. The method does not depend on overall similarity of structures and sequences of compared proteins or on previous knowledge about functionally relevant residues. The compared protein structures are condensed to a graph representation, with atoms as nodes and distances as edge labels. Protein graphs are then compared to extract all possible Common Structural Cliques. These cliques are merged to create Structural Templates: graphs that describe structural analogies between compared proteins. Structures of serine endopeptidases were compared in pairs using the presented algorithm with different geometrical parameters. Additionally, a Structural Template was extracted from the structures of aminotransferases, two different proteins that catalyze the same type of chemical reaction. The results presented show that the method works efficiently even in the case of large protein systems and allows for extraction of common structural features from proteins catalyzing a particular chemical reaction, but that evolved from different ancestors by convergent evolution.

Mesh:

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Year:  2003        PMID: 12968072     DOI: 10.1093/protein/gzg080

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  9 in total

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2.  Identification of family-specific residue packing motifs and their use for structure-based protein function prediction: I. Method development.

Authors:  Deepak Bandyopadhyay; Jun Huan; Jan Prins; Jack Snoeyink; Wei Wang; Alexander Tropsha
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3.  Ballast: a ball-based algorithm for structural motifs.

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Journal:  J Comput Biol       Date:  2013-02       Impact factor: 1.479

4.  FlexSnap: flexible non-sequential protein structure alignment.

Authors:  Saeed Salem; Mohammed J Zaki; Chris Bystroff
Journal:  Algorithms Mol Biol       Date:  2010-01-04       Impact factor: 1.405

5.  StralSV: assessment of sequence variability within similar 3D structures and application to polio RNA-dependent RNA polymerase.

Authors:  Adam T Zemla; Dorothy M Lang; Tanya Kostova; Raul Andino; Carol L Ecale Zhou
Journal:  BMC Bioinformatics       Date:  2011-06-02       Impact factor: 3.169

6.  PAR-3D: a server to predict protein active site residues.

Authors:  Kshama Goyal; Debasisa Mohanty; Shekhar C Mande
Journal:  Nucleic Acids Res       Date:  2007-05-03       Impact factor: 16.971

7.  A simple extension to the CMASA method for the prediction of catalytic residues in the presence of single point mutations.

Authors:  David I Flores; Rogerio R Sotelo-Mundo; Carlos A Brizuela
Journal:  PLoS One       Date:  2014-09-30       Impact factor: 3.240

8.  FAMCS: finding all maximal common substructures in proteins.

Authors:  Zhen Yao; Juan Xiao; Anthony K H Tung; Wing Kin Sung
Journal:  Genomics Proteomics Bioinformatics       Date:  2005-05       Impact factor: 7.691

9.  Towards comprehensive structural motif mining for better fold annotation in the "twilight zone" of sequence dissimilarity.

Authors:  Yi Jia; Jun Huan; Vincent Buhr; Jintao Zhang; Leonidas N Carayannopoulos
Journal:  BMC Bioinformatics       Date:  2009-01-30       Impact factor: 3.169

  9 in total

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