Literature DB >> 19482604

Computational techniques for motif search.

Sanguthevar Rajasekaran1.   

Abstract

In the study of protein-protein interactions, one is interested in identifying domains as well as short motifs that bind to these domains. Short motifs also confer functions to proteins such as post-translational modification, protein-protein interaction, and protein trafficking. Identification of domains is relatively easy since they are sufficiently long enough to render the likelihood of occurrences by random chance very low. On the other hand, the identification of motifs is a challenge since they are typically very short. Thus it is vital to develop efficient techniques to identify motifs. In this paper we survey some of the techniques that have been proposed in the literature for motifs identification.

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Year:  2009        PMID: 19482604     DOI: 10.2741/3586

Source DB:  PubMed          Journal:  Front Biosci (Landmark Ed)        ISSN: 2768-6698


  7 in total

Review 1.  Tools used to study how protein complexes are assembled in signaling cascades.

Authors:  Susan Dwane; Patrick A Kiely
Journal:  Bioeng Bugs       Date:  2011-09-01

2.  PMS5: an efficient exact algorithm for the (ℓ, d)-motif finding problem.

Authors:  Hieu Dinh; Sanguthevar Rajasekaran; Vamsi K Kundeti
Journal:  BMC Bioinformatics       Date:  2011-10-24       Impact factor: 3.169

Review 3.  Physiology and pathophysiology of the blood-brain barrier: P-glycoprotein and occludin trafficking as therapeutic targets to optimize central nervous system drug delivery.

Authors:  Gwen McCaffrey; Thomas P Davis
Journal:  J Investig Med       Date:  2012-12       Impact factor: 2.895

4.  A speedup technique for (l, d)-motif finding algorithms.

Authors:  Sanguthevar Rajasekaran; Hieu Dinh
Journal:  BMC Res Notes       Date:  2011-03-08

5.  Characterization of human chromosomal material exchange with regard to the chromosome translocations using next-generation sequencing data.

Authors:  Chao Xu; Jigang Zhang; Yu-Ping Wang; Hong-Wen Deng; Jian Li
Journal:  Genome Biol Evol       Date:  2014-10-27       Impact factor: 3.416

6.  qPMS7: a fast algorithm for finding (ℓ, d)-motifs in DNA and protein sequences.

Authors:  Hieu Dinh; Sanguthevar Rajasekaran; Jaime Davila
Journal:  PLoS One       Date:  2012-07-24       Impact factor: 3.240

7.  PMS: a panoptic motif search tool.

Authors:  Hieu Dinh; Sanguthevar Rajasekaran
Journal:  PLoS One       Date:  2013-12-04       Impact factor: 3.240

  7 in total

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