Literature DB >> 11072339

Protein Threading Based on Multiple Protein Structure Alignment.

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Abstract

Protein threading, a method employed in protein three-dimensional (3D) structure prediction was only proposed in the early 1990's although predicting protein 3D structure from its given amino acid sequence has been around since 1970's. Here we describe a protein threading method/system that we have developed based on multiple protein structure alignment. In order to compute multiple structure alignments, we developed a similar structure search program on massive parallel computers and a program for constructing a multiple structure alignment from pairwise structure alignments, where the latter is based on the center star method for sequence alignment. A simple dynamic-programming based algorithm which uses a profile matrix obtained from the result of multiple structure alignment was also developed to compute a threading (i.e., an alignment between a target sequence and a known structure). Using this system, we participated in the threading category (category AL) of CASP3 (Third Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction). The results are discussed.

Entities:  

Year:  1999        PMID: 11072339

Source DB:  PubMed          Journal:  Genome Inform Ser Workshop Genome Inform


  4 in total

1.  Multiple structural alignment by secondary structures: algorithm and applications.

Authors:  Oranit Dror; Hadar Benyamini; Ruth Nussinov; Haim J Wolfson
Journal:  Protein Sci       Date:  2003-11       Impact factor: 6.725

2.  A data-mining approach for multiple structural alignment of proteins.

Authors:  Wing-Yan Siu; Nikos Mamoulis; Siu-Ming Yiu; Ho-Leung Chan
Journal:  Bioinformation       Date:  2010-02-28

3.  Fr-TM-align: a new protein structural alignment method based on fragment alignments and the TM-score.

Authors:  Shashi Bhushan Pandit; Jeffrey Skolnick
Journal:  BMC Bioinformatics       Date:  2008-12-12       Impact factor: 3.169

Review 4.  Peptide-based vaccinology: experimental and computational approaches to target hypervariable viruses through the fine characterization of protective epitopes recognized by monoclonal antibodies and the identification of T-cell-activating peptides.

Authors:  Matteo Castelli; Francesca Cappelletti; Roberta Antonia Diotti; Giuseppe Sautto; Elena Criscuolo; Matteo Dal Peraro; Nicola Clementi
Journal:  Clin Dev Immunol       Date:  2013-06-26
  4 in total

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