Literature DB >> 16962967

Classification of protein-DNA complexes based on structural descriptors.

Ponraj Prabakaran1, Jörg G Siebers, Shandar Ahmad, M Michael Gromiha, Maria G Singarayan, Akinori Sarai.   

Abstract

We attempt to classify protein-DNA complexes by using a set of 11 descriptors, mainly characterizing protein-DNA interactions, including the number of atomic contacts at major and minor grooves, conformational deviations from standard B- and A-DNA forms, widths of DNA grooves, GC content, specificity measures of direct and indirect readouts, and buried surface area at the complex interface. The cluster analyses were carried out for a unique set of 62 complexes including a variety of protein motifs, and 7 distinct clusters were revealed from the analyses. We found that some proteins with the same motif are classified into different clusters, whereas different proteins with distinct motifs are classified into the same cluster. These results suggest that the conventional motif-based classification of DNA binding proteins may not necessarily correspond to structural and functional properties of protein-DNA complexes, and that the present classification will help to identify common properties and rules that govern protein-DNA recognition.

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Year:  2006        PMID: 16962967     DOI: 10.1016/j.str.2006.06.018

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  17 in total

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Authors:  Tomás Norambuena; Francisco Melo
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2.  PDA: an automatic and comprehensive analysis program for protein-DNA complex structures.

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Journal:  BMC Genomics       Date:  2009-07-07       Impact factor: 3.969

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4.  Re-visiting protein-centric two-tier classification of existing DNA-protein complexes.

Authors:  Sony Malhotra; Ramanathan Sowdhamini
Journal:  BMC Bioinformatics       Date:  2012-07-16       Impact factor: 3.169

5.  Understanding the sequence-dependence of DNA groove dimensions: implications for DNA interactions.

Authors:  Christophe Oguey; Nicolas Foloppe; Brigitte Hartmann
Journal:  PLoS One       Date:  2010-12-29       Impact factor: 3.240

6.  Benchmarks for flexible and rigid transcription factor-DNA docking.

Authors:  RyangGuk Kim; Rosario I Corona; Bo Hong; Jun-tao Guo
Journal:  BMC Struct Biol       Date:  2011-11-01

7.  DNA-binding residues and binding mode prediction with binding-mechanism concerned models.

Authors:  Yu-Feng Huang; Chun-Chin Huang; Yu-Cheng Liu; Yen-Jen Oyang; Chien-Kang Huang
Journal:  BMC Genomics       Date:  2009-12-03       Impact factor: 3.969

8.  Measuring spatial preferences at fine-scale resolution identifies known and novel cis-regulatory element candidates and functional motif-pair relationships.

Authors:  Ken Daigoro Yokoyama; Uwe Ohler; Gregory A Wray
Journal:  Nucleic Acids Res       Date:  2009-05-29       Impact factor: 16.971

9.  Insights into protein-DNA interactions through structure network analysis.

Authors:  R Sathyapriya; M S Vijayabaskar; Saraswathi Vishveshwara
Journal:  PLoS Comput Biol       Date:  2008-09-05       Impact factor: 4.475

10.  Novel approach for selecting the best predictor for identifying the binding sites in DNA binding proteins.

Authors:  R Nagarajan; Shandar Ahmad; M Michael Gromiha
Journal:  Nucleic Acids Res       Date:  2013-06-20       Impact factor: 16.971

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