Literature DB >> 17683261

A parameterized algorithm for protein structure alignment.

Jinbo Xu1, Feng Jiao, Bonnie Berger.   

Abstract

This paper proposes a parameterized polynomial time approximation scheme (PTAS) for aligning two protein structures, in the case where one protein structure is represented by a contact map graph and the other by a contact map graph or a distance matrix. If the sequential order of alignment is not required, the time complexity is polynomial in the protein size and exponential with respect to two parameters D(u)/D(l) and D(c)/D(l), which usually can be treated as constants. In particular, D(u) is the distance threshold determining if two residues are in contact or not, D(c) is the maximally allowed distance between two matched residues after two proteins are superimposed, and D(l) is the minimum inter-residue distance in a typical protein. This result clearly demonstrates that the computational hardness of the contact map based protein structure alignment problem is related not to protein size but to several parameters modeling the problem. The result is achieved by decomposing the protein structure using tree decomposition and discretizing the rigid-body transformation space. Preliminary experimental results indicate that on a Linux PC, it takes from ten minutes to one hour to align two proteins with approximately 100 residues.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17683261     DOI: 10.1089/cmb.2007.R003

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  5 in total

1.  BALL--biochemical algorithms library 1.3.

Authors:  Andreas Hildebrandt; Anna Katharina Dehof; Alexander Rurainski; Andreas Bertsch; Marcel Schumann; Nora C Toussaint; Andreas Moll; Daniel Stöckel; Stefan Nickels; Sabine C Mueller; Hans-Peter Lenhof; Oliver Kohlbacher
Journal:  BMC Bioinformatics       Date:  2010-10-25       Impact factor: 3.169

2.  On the difference in quality between current heuristic and optimal solutions to the protein structure alignment problem.

Authors:  Mauricio Arriagada; Aleksandar Poleksic
Journal:  Biomed Res Int       Date:  2012-12-23       Impact factor: 3.411

3.  Predicting protein contact map using evolutionary and physical constraints by integer programming.

Authors:  Zhiyong Wang; Jinbo Xu
Journal:  Bioinformatics       Date:  2013-07-01       Impact factor: 6.937

4.  Matt: local flexibility aids protein multiple structure alignment.

Authors:  Matthew Menke; Bonnie Berger; Lenore Cowen
Journal:  PLoS Comput Biol       Date:  2008-01       Impact factor: 4.475

5.  RRCRank: a fusion method using rank strategy for residue-residue contact prediction.

Authors:  Xiaoyang Jing; Qiwen Dong; Ruqian Lu
Journal:  BMC Bioinformatics       Date:  2017-09-02       Impact factor: 3.169

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.