Bioinformatics Advance Access published online on March 24, 2007
Bioinformatics, doi:10.1093/bioinformatics/btm121
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Searching for three dimensional secondary structural patterns in proteins with ProSMoS
1Howard Hughes Medical Institute and 2Department of Biochemistry, University of Texas Southwestern Medical Center,5323, Harry Hines Blvd, Dallas, TX 75390-9050
3present address: Joint Center for Structural Genomics, Burnham Institute for Medical Research, La Jolla, CA 92037, USA.
*To whom correspondence should be addressed. shuoyong shi, E-mail: shuoyong.shi{at}UTsouthwestern.edu
 |
Abstract |
|---|
Motivation: Many evolutionarily distant, but functionally meaningful links between proteins come to light through comparison of spatial structures. Most programs that assess structural similarity compare two proteins to each other and find regions in common between them. Structural classification experts look for a particular structural motif instead. Programs base similarity scores on superposition or closeness of either Cartesian coordinates or inter-residue contacts. Experts pay more attention to the general orientation of the main chain and mutual spatial arrangement of secondary structural elements. There is a need for a computational tool to find proteins with the same secondary structures, topological connections and spatial architecture, regardless of subtle differences in three dimensional (3D) coordinates.
Results: We developed ProSMoS – a Protein Structure Motif Search program that emulates an expert. Starting from a spatial structure, the program uses previously delineated secondary structural elements. A meta-matrix of interactions between the elements (parallel or antiparallel) minding handedness of connections (left or right) and other features (e.g. element lengths and hydrogen bonds) is constructed prior to or during the searches. All structures are reduced to such meta-matrices that contain just enough information to define a protein fold, but this definition remains very general and deviations in 3D coordinates are tolerated. User supplies a meta-matrix for a structural motif of interest, and ProSMoS finds all proteins in the Protein Data Bank (PDB) that match the meta-matrix. ProSMoS performance is compared to other programs and is illustrated on a ß-Grasp motif. A brief analysis of all ß-Grasp-containing proteins is presented.
Program availability: ProSMoS is freely available for non-commercial use from ftp://iole.swmed.edu/pub/ProSMoS.
Associate Editor: Prof. Anna Tramontano
Received on January 30, 2007; revised on March 2, 2007; accepted on March 18, 2007
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  S. Shi, B. Chitturi, and N. V. Grishin ProSMoS server: a pattern-based search using interaction matrix representation of protein structures Nucleic Acids Res., July 1, 2009; 37(suppl_2): W526 - W531. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 A. S. Konagurthu, P. J. Stuckey, and A. M. Lesk Structural search and retrieval using a tableau representation of protein folding patterns Bioinformatics, March 1, 2008; 24(5): 645 - 651. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
H. Cheng, B.-H. Kim, and N. V. Grishin MALISAM: a database of structurally analogous motifs in proteins Nucleic Acids Res., January 11, 2008; 36(suppl_1): D211 - D217. [Abstract] [Full Text] [PDF]
|
|