Literature DB >> 26894243

Large-Scale Quantitative Assessment of Binding Preferences in Protein-Nucleic Acid Complexes.

Dávid Jakubec, Jirí Hostas, Roman A Laskowski, Pavel Hobza, Jirí Vondrásek.   

Abstract

The growing number of high-quality experimental (X-ray, NMR) structures of protein–DNA complexes has sufficient enough information to assess whether universal rules governing the DNA sequence recognition process apply. While previous studies have investigated the relative abundance of various modes of amino acid–base contacts (van der Waals contacts, hydrogen bonds), relatively little is known about the energetics of these noncovalent interactions. In the present study, we have performed the first large-scale quantitative assessment of binding preferences in protein–DNA complexes by calculating the interaction energies in all 80 possible amino acid–DNA base combinations. We found that several mutual amino acid–base orientations featuring bidentate hydrogen bonds capable of unambiguous one-to-one recognition correspond to unique minima in the potential energy space of the amino acid–base pairs. A clustering algorithm revealed that these contacts form a spatially well-defined group offering relatively little conformational freedom. Various molecular mechanics force field and DFT-D ab initio calculations were performed, yielding similar results.

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Year:  2015        PMID: 26894243     DOI: 10.1021/ct501168n

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  5 in total

1.  The BioFragment Database (BFDb): An open-data platform for computational chemistry analysis of noncovalent interactions.

Authors:  Lori A Burns; John C Faver; Zheng Zheng; Michael S Marshall; Daniel G A Smith; Kenno Vanommeslaeghe; Alexander D MacKerell; Kenneth M Merz; C David Sherrill
Journal:  J Chem Phys       Date:  2017-10-28       Impact factor: 3.488

2.  Amino Acid Interaction (INTAA) web server.

Authors:  Jakub Galgonek; Jirí Vymetal; David Jakubec; Jirí Vondrášek
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

3.  mRNA/protein sequence complementarity and its determinants: The impact of affinity scales.

Authors:  Lukas Bartonek; Bojan Zagrovic
Journal:  PLoS Comput Biol       Date:  2017-07-27       Impact factor: 4.475

Review 4.  RNA-protein interactions in an unstructured context.

Authors:  Bojan Zagrovic; Lukas Bartonek; Anton A Polyansky
Journal:  FEBS Lett       Date:  2018-06-21       Impact factor: 4.124

5.  Sequence-Specific Recognition of DNA by Proteins: Binding Motifs Discovered Using a Novel Statistical/Computational Analysis.

Authors:  David Jakubec; Roman A Laskowski; Jiri Vondrasek
Journal:  PLoS One       Date:  2016-07-06       Impact factor: 3.240

  5 in total

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