Literature DB >> 17826686

Rapid retrieval of protein structures from databases.

Zeyar Aung1, Kian-Lee Tan.   

Abstract

As protein databases continue to grow in size, exhaustive search methods that compare a query structure against every database structure can no longer provide satisfactory performance. Instead, the filter-and-refine paradigm offers an efficient alternative to database search without compromising the accuracy of the answers. In this paradigm, protein structures are represented in an abstract form. During querying, based on the abstract representations, the filtering phase prunes away dissimilar structures quickly so that only a small collection of promising structures are examined using a detailed structure alignment technique in the refinement phase. This article reviews mainly techniques developed for the filtering phase.

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Year:  2007        PMID: 17826686     DOI: 10.1016/j.drudis.2007.07.014

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  5 in total

1.  FragBag, an accurate representation of protein structure, retrieves structural neighbors from the entire PDB quickly and accurately.

Authors:  Inbal Budowski-Tal; Yuval Nov; Rachel Kolodny
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-03       Impact factor: 11.205

2.  Multi-view methods for protein structure comparison using latent dirichlet allocation.

Authors:  S Shivashankar; S Srivathsan; B Ravindran; Ashish V Tendulkar
Journal:  Bioinformatics       Date:  2011-07-01       Impact factor: 6.937

3.  Progress in the PRIDE technique for rapidly comparing protein three-dimensional structures.

Authors:  Svetlana Kirillova; Oliviero Carugo
Journal:  BMC Res Notes       Date:  2008-07-11

4.  Effective moment feature vectors for protein domain structures.

Authors:  Jian-Yu Shi; Siu-Ming Yiu; Yan-Ning Zhang; Francis Yuk-Lun Chin
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

5.  Linear-time protein 3-D structure searching with insertions and deletions.

Authors:  Tetsuo Shibuya; Jesper Jansson; Kunihiko Sadakane
Journal:  Algorithms Mol Biol       Date:  2010-01-04       Impact factor: 1.405

  5 in total

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