Literature DB >> 15869395

Protein-DNA recognition patterns and predictions.

Akinori Sarai1, Hidetoshi Kono.   

Abstract

Structural data on protein-DNA complexes provide clues for understanding the mechanism of protein-DNA recognition. Although the structures of a large number of protein-DNA complexes are known, the mechanisms underlying their specific binding are still only poorly understood. Analysis of these structures has shown that there is no simple one-to-one correspondence between bases and amino acids within protein-DNA complexes; nevertheless, the observed patterns of interaction carry important information on the mechanisms of protein-DNA recognition. In this review, we show how the patterns of interaction, either observed in known structures or derived from computer simulations, confer recognition specificity, and how they can be used to examine the relationship between structure and specificity and to predict target DNA sequences used by regulatory proteins.

Mesh:

Substances:

Year:  2005        PMID: 15869395     DOI: 10.1146/annurev.biophys.34.040204.144537

Source DB:  PubMed          Journal:  Annu Rev Biophys Biomol Struct        ISSN: 1056-8700


  60 in total

1.  Re-programming DNA-binding specificity in zinc finger proteins for targeting unique address in a genome.

Authors:  Abhinav Grover; Akshay Pande; Krishna Choudhary; Kriti Gupta; Durai Sundar
Journal:  Syst Synth Biol       Date:  2011-02-19

2.  Improved models for transcription factor binding site identification using nonindependent interactions.

Authors:  Yue Zhao; Shuxiang Ruan; Manishi Pandey; Gary D Stormo
Journal:  Genetics       Date:  2012-04-13       Impact factor: 4.562

3.  Residue-level prediction of DNA-binding sites and its application on DNA-binding protein predictions.

Authors:  Nitin Bhardwaj; Hui Lu
Journal:  FEBS Lett       Date:  2007-02-07       Impact factor: 4.124

4.  Experimentally based contact energies decode interactions responsible for protein-DNA affinity and the role of molecular waters at the binding interface.

Authors:  N Alpay Temiz; Carlos J Camacho
Journal:  Nucleic Acids Res       Date:  2009-05-08       Impact factor: 16.971

5.  Discovering protein-DNA binding sequence patterns using association rule mining.

Authors:  Kwong-Sak Leung; Ka-Chun Wong; Tak-Ming Chan; Man-Hon Wong; Kin-Hong Lee; Chi-Kong Lau; Stephen K W Tsui
Journal:  Nucleic Acids Res       Date:  2010-06-06       Impact factor: 16.971

6.  Prediction of DNA-binding residues from protein sequence information using random forests.

Authors:  Liangjiang Wang; Mary Qu Yang; Jack Y Yang
Journal:  BMC Genomics       Date:  2009-07-07       Impact factor: 3.969

7.  Using sequence-specific chemical and structural properties of DNA to predict transcription factor binding sites.

Authors:  Amy L Bauer; William S Hlavacek; Pat J Unkefer; Fangping Mu
Journal:  PLoS Comput Biol       Date:  2010-11-18       Impact factor: 4.475

8.  From nonspecific DNA-protein encounter complexes to the prediction of DNA-protein interactions.

Authors:  Mu Gao; Jeffrey Skolnick
Journal:  PLoS Comput Biol       Date:  2009-04-03       Impact factor: 4.475

9.  A threading-based method for the prediction of DNA-binding proteins with application to the human genome.

Authors:  Mu Gao; Jeffrey Skolnick
Journal:  PLoS Comput Biol       Date:  2009-11-13       Impact factor: 4.475

10.  Cavities in protein-DNA and protein-RNA interfaces.

Authors:  Shrihari Sonavane; Pinak Chakrabarti
Journal:  Nucleic Acids Res       Date:  2009-06-03       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.