Literature DB >> 15289576

Quantitative modeling of DNA-protein interactions: effects of amino acid substitutions on binding specificity of the Mnt repressor.

Tsz-Kwong Man1, Joshua SungWoo Yang, Gary D Stormo.   

Abstract

Understanding DNA-protein recognition quantitatively is essential to developing computational algorithms for accurate transcriptional binding site prediction. Using a quantitative, multiple fluorescence, relative affinity (QuMFRA) assay, we determine the binding specificity of 11 different position 6 variants of the Mnt repressor for operators containing all 16 possible dinucleotides at operator positions 16 and 17. We show that the wild-type and all variant proteins interact with the two positions in a non-independent manner, but that a simple independent model provides a close approximation to the true binding affinities. The wild-type His at amino acid 6 is the only protein to prefer the AC sequence of the wild-type operator, whereas most of the variant proteins prefer TA. H6R is unique in having a strong preference for C at position 16. A comparison of the quantitative binding data for all of the protein variants with a model for recognition of the early growth response (EGR) zinc finger family suggests that interactions of Mnt with positions 16 and 17 are similar to interactions of EGR with positions 1 and 2, respectively. This information leads to an augmented model for the interaction of Mnt with its operator.

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Year:  2004        PMID: 15289576      PMCID: PMC506813          DOI: 10.1093/nar/gkh729

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  28 in total

Review 1.  Mining genome databases to identify and understand new gene regulatory systems.

Authors:  Gary D Stormo; Kai Tan
Journal:  Curr Opin Microbiol       Date:  2002-04       Impact factor: 7.934

Review 2.  Is there a code for protein-DNA recognition? Probab(ilistical)ly. . .

Authors:  Panayiotis V Benos; Alan S Lapedes; Gary D Stormo
Journal:  Bioessays       Date:  2002-05       Impact factor: 4.345

3.  Additivity in protein-DNA interactions: how good an approximation is it?

Authors:  Panayiotis V Benos; Martha L Bulyk; Gary D Stormo
Journal:  Nucleic Acids Res       Date:  2002-10-15       Impact factor: 16.971

4.  Probabilistic code for DNA recognition by proteins of the EGR family.

Authors:  Panayiotis V Benos; Alan S Lapedes; Gary D Stormo
Journal:  J Mol Biol       Date:  2002-11-01       Impact factor: 5.469

5.  Analysis of zinc fingers optimized via phage display: evaluating the utility of a recognition code.

Authors:  S A Wolfe; H A Greisman; E I Ramm; C O Pabo
Journal:  J Mol Biol       Date:  1999-02-05       Impact factor: 5.469

6.  Quantitative parameters for amino acid-base interaction: implications for prediction of protein-DNA binding sites.

Authors:  Y Mandel-Gutfreund; H Margalit
Journal:  Nucleic Acids Res       Date:  1998-05-15       Impact factor: 16.971

7.  Protein-DNA interaction. No code for recognition.

Authors:  B W Matthews
Journal:  Nature       Date:  1988-09-22       Impact factor: 49.962

8.  High-throughput SELEX SAGE method for quantitative modeling of transcription-factor binding sites.

Authors:  Emmanuelle Roulet; Stéphane Busso; Anamaria A Camargo; Andrew J G Simpson; Nicolas Mermod; Philipp Bucher
Journal:  Nat Biotechnol       Date:  2002-07-08       Impact factor: 54.908

9.  Specificity of Mnt 'master residue' obtained from in vivo and in vitro selections.

Authors:  Fauzi S Silbaq; Steven E Ruttenberg; Gary D Stormo
Journal:  Nucleic Acids Res       Date:  2002-12-15       Impact factor: 16.971

10.  Changing the DNA-binding specificity of a repressor.

Authors:  P Youderian; A Vershon; S Bouvier; R T Sauer; M M Susskind
Journal:  Cell       Date:  1983-12       Impact factor: 41.582

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  11 in total

1.  Quantifying DNA-protein binding specificities by using oligonucleotide mass tags and mass spectroscopy.

Authors:  Lingang Zhang; Simon Kasif; And Charles R Cantor
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-20       Impact factor: 11.205

2.  High-resolution specificity from DNA sequencing highlights alternative modes of Lac repressor binding.

Authors:  Zheng Zuo; Gary D Stormo
Journal:  Genetics       Date:  2014-09-09       Impact factor: 4.562

3.  Hybrid incompatibility arises in a sequence-based bioenergetic model of transcription factor binding.

Authors:  Alexander Y Tulchinsky; Norman A Johnson; Ward B Watt; Adam H Porter
Journal:  Genetics       Date:  2014-08-29       Impact factor: 4.562

4.  Quantitative analysis of EGR proteins binding to DNA: assessing additivity in both the binding site and the protein.

Authors:  Jiajian Liu; Gary D Stormo
Journal:  BMC Bioinformatics       Date:  2005-07-13       Impact factor: 3.169

5.  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

Review 6.  Spec-seq: determining protein-DNA-binding specificity by sequencing.

Authors:  Gary D Stormo; Zheng Zuo; Yiming Kenny Chang
Journal:  Brief Funct Genomics       Date:  2014-10-30       Impact factor: 4.241

7.  Combining SELEX with quantitative assays to rapidly obtain accurate models of protein-DNA interactions.

Authors:  Jiajian Liu; Gary D Stormo
Journal:  Nucleic Acids Res       Date:  2005-09-25       Impact factor: 16.971

8.  Predicting transcription factor specificity with all-atom models.

Authors:  Sahand Jamal Rahi; Peter Virnau; Leonid A Mirny; Mehran Kardar
Journal:  Nucleic Acids Res       Date:  2008-10-01       Impact factor: 16.971

9.  Nearest-neighbor non-additivity versus long-range non-additivity in TATA-box structure and its implications for TBP-binding mechanism.

Authors:  Hana Faiger; Marina Ivanchenko; Tali E Haran
Journal:  Nucleic Acids Res       Date:  2007-06-18       Impact factor: 16.971

10.  Quantitative profiling of BATF family proteins/JUNB/IRF hetero-trimers using Spec-seq.

Authors:  Yiming K Chang; Zheng Zuo; Gary D Stormo
Journal:  BMC Mol Biol       Date:  2018-03-27       Impact factor: 2.946

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