Literature DB >> 19434827

Compressed binary bit trees: a new data structure for accelerating database searching.

Andrew Smellie1.   

Abstract

Molecules are often represented as bit string fingerprints in databases. These bit strings are used for similarity searching using the Tanimoto coefficient and rapid indexing. A new data structure is introduced, the compressed bit binary tree, that rapidly increases search and indexing times by up to a factor of 30. Results will be shown for databases of up to 1 M compounds with a variety of search parameters.

Year:  2009        PMID: 19434827     DOI: 10.1021/ci800325v

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  4 in total

Review 1.  Methods for Similarity-based Virtual Screening.

Authors:  Thomas G Kristensen; Jesper Nielsen; Christian N S Pedersen
Journal:  Comput Struct Biotechnol J       Date:  2013-03-03       Impact factor: 7.271

2.  Anatomy of high-performance 2D similarity calculations.

Authors:  Imran S Haque; Vijay S Pande; W Patrick Walters
Journal:  J Chem Inf Model       Date:  2011-09-07       Impact factor: 4.956

3.  The chemfp project.

Authors:  Andrew Dalke
Journal:  J Cheminform       Date:  2019-12-05       Impact factor: 5.514

4.  A tree-based method for the rapid screening of chemical fingerprints.

Authors:  Thomas G Kristensen; Jesper Nielsen; Christian N S Pedersen
Journal:  Algorithms Mol Biol       Date:  2010-01-04       Impact factor: 1.405

  4 in total

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