Literature DB >> 18324751

TALI: local alignment of protein structures using backbone torsion angles.

Xijiang Miao1, Peter J Waddell, Homayoun Valafar.   

Abstract

UNLABELLED: Torsion angle alignment (TALI) is a novel approach to local structural motif alignment, based on backbone torsion angles (phi, psi) rather than the more traditional atomic distance matrices. Representation of a protein structure in the form of a sequence of torsion angles enables easy integration of sequence and structural information, and adopts mature techniques in sequence alignment to improve performance and alignment quality. We show that TALI is able to match local structural motifs as well as identify global structural similarity. TALI is also compared to other structure alignment methods such as DALI, CE, and SSM, as well as sequence alignment based on PSI-BLAST; TALI is shown to be equally successful as, or more successful than, these other methods when applied to challenging structural alignments. The inference of the evolutionary tree of class II aminoacyl-tRNA synthetase shows the potential for TALI in estimating protein structural evolution and in identifying structural divergence among homologous structures. AVAILABILITY: http://redcat.cse.sc.edu/index.php/ PROJECT: TALI/.

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Year:  2008        PMID: 18324751     DOI: 10.1142/s0219720008003370

Source DB:  PubMed          Journal:  J Bioinform Comput Biol        ISSN: 0219-7200            Impact factor:   1.122


  7 in total

1.  Efficient and accurate estimation of relative order tensors from lambda-maps.

Authors:  Rishi Mukhopadhyay; Xijiang Miao; Paul Shealy; Homayoun Valafar
Journal:  J Magn Reson       Date:  2009-03-05       Impact factor: 2.229

2.  Multiple structure alignment with msTALI.

Authors:  Paul Shealy; Homayoun Valafar
Journal:  BMC Bioinformatics       Date:  2012-05-20       Impact factor: 3.169

3.  TANGLE: two-level support vector regression approach for protein backbone torsion angle prediction from primary sequences.

Authors:  Jiangning Song; Hao Tan; Mingjun Wang; Geoffrey I Webb; Tatsuya Akutsu
Journal:  PLoS One       Date:  2012-02-02       Impact factor: 3.240

4.  Protein structure validation and identification from unassigned residual dipolar coupling data using 2D-PDPA.

Authors:  Arjang Fahim; Rishi Mukhopadhyay; Ryan Yandle; James H Prestegard; Homayoun Valafar
Journal:  Molecules       Date:  2013-08-22       Impact factor: 4.411

5.  Evaluation of protein dihedral angle prediction methods.

Authors:  Harinder Singh; Sandeep Singh; Gajendra P S Raghava
Journal:  PLoS One       Date:  2014-08-28       Impact factor: 3.240

6.  Protein Structure Classification and Loop Modeling Using Multiple Ramachandran Distributions.

Authors:  Seyed Morteza Najibi; Mehdi Maadooliat; Lan Zhou; Jianhua Z Huang; Xin Gao
Journal:  Comput Struct Biotechnol J       Date:  2017-02-08       Impact factor: 7.271

7.  RaptorX-Angle: real-value prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning.

Authors:  Yujuan Gao; Sheng Wang; Minghua Deng; Jinbo Xu
Journal:  BMC Bioinformatics       Date:  2018-05-08       Impact factor: 3.169

  7 in total

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