Literature DB >> 10197968

Docking of cationic antibiotics to negatively charged pockets in RNA folds.

T Hermann1, E Westhof.   

Abstract

The binding of aminoglycosides to RNA provides a paradigm system for the analysis of RNA-drug interactions. The electrostatic field around three-dimensional RNA folds creates localized and defined negatively charged regions which are potential docking sites for the cationic ammonium groups of aminoglycosides. To explore in RNA folds the electronegative pockets suitable for aminoglycoside binding, we used calculations of the electrostatic field and Brownian dynamics simulations of cation diffusion. We applied the technique on those RNA molecules experimentally known to bind aminoglycosides, namely, two tobramycin aptamers (Wang, Y.; Rando, R. R. Chem. Biol. 1995, 2, 281-290): the aminoglycoside-binding region in 16S ribosomal RNA (Moazed, S.; Noller, H. F. Nature 1987, 327, 389-394) and the TAR RNA from human immunodeficiency virus (Mei, H.-Y.; et al. Bioorg. Med. Chem. Lett. 1995, 5, 2755-2760). For the aptamers and ribosomal RNA, for which the binding sites of the aminoglycosides are known, a good agreement between negatively charged pockets and the binding positions of the drugs was found. On the basis of variations between neomycin-like and kanamycin-like aminoglycosides in the interaction with the electrostatic field of ribosomal RNA, we propose a model for the different binding specificities of these two classes of drugs. The spatial congruence between the electronegative pockets in RNA folds and binding positions of aminoglycosides was used to dock aminoglycosides to ribosomal and TAR RNAs. Molecular dynamics simulations were used to analyze possible RNA-drug interactions. Aminoglycosides inhibit the binding of the viral Tat protein to TAR RNA; however, the drug-binding sites are still unknown. Thus, our docking approach provides first structural models for TAR-aminoglycoside complexes. The RNA-drug interactions observed in the modeled complexes support the view that the antibiotics might lock TAR in a conformation with low affinity for the Tat protein, explaining the experimentally found aminoglycoside inhibition of the Tat-TAR interaction (Mei, H.-Y.; et al. Bioorg. Med. Chem. Lett. 1995, 5, 2755-2760).

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Year:  1999        PMID: 10197968     DOI: 10.1021/jm981108g

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  26 in total

Review 1.  Aminoglycosides: perspectives on mechanisms of action and resistance and strategies to counter resistance.

Authors:  L P Kotra; J Haddad; S Mobashery
Journal:  Antimicrob Agents Chemother       Date:  2000-12       Impact factor: 5.191

Review 2.  Unusual DNA duplex and hairpin motifs.

Authors:  Shan-Ho Chou; Ko-Hsin Chin; Andrew H-J Wang
Journal:  Nucleic Acids Res       Date:  2003-05-15       Impact factor: 16.971

3.  Using pyrene-labeled HIV-1 TAR to measure RNA-small molecule binding.

Authors:  Kenneth F Blount; Yitzhak Tor
Journal:  Nucleic Acids Res       Date:  2003-10-01       Impact factor: 16.971

4.  Validation of an empirical RNA-ligand scoring function for fast flexible docking using Ribodock.

Authors:  S David Morley; Mohammad Afshar
Journal:  J Comput Aided Mol Des       Date:  2004-03       Impact factor: 3.686

5.  Evidence that electrostatic interactions dictate the ligand-induced arrest of RNA global flexibility.

Authors:  Stephen W Pitt; Qi Zhang; Dinshaw J Patel; Hashim M Al-Hashimi
Journal:  Angew Chem Int Ed Engl       Date:  2005-05-30       Impact factor: 15.336

6.  Association of aminoglycosidic antibiotics with the ribosomal A-site studied with Brownian dynamics.

Authors:  Maciej Długosz; Jan M Antosiewicz; Joanna Trylska
Journal:  J Chem Theory Comput       Date:  2008-04       Impact factor: 6.006

7.  Docking to RNA via root-mean-square-deviation-driven energy minimization with flexible ligands and flexible targets.

Authors:  Christophe Guilbert; Thomas L James
Journal:  J Chem Inf Model       Date:  2008-05-30       Impact factor: 4.956

8.  Aggregation of Kanamycin A: dimer formation with physiological cations.

Authors:  Johannes M Dieterich; Ulrich Gerstel; Jens-Michael Schröder; Bernd Hartke
Journal:  J Mol Model       Date:  2011-03-02       Impact factor: 1.810

9.  Target Flexibility in RNA-Ligand Docking Modeled by Elastic Potential Grids.

Authors:  Dennis M Krüger; Johannes Bergs; Sina Kazemi; Holger Gohlke
Journal:  ACS Med Chem Lett       Date:  2011-04-12       Impact factor: 4.345

10.  N6', N6''', and O4' Modifications to Neomycin Affect Ribosomal Selectivity without Compromising Antibacterial Activity.

Authors:  Girish C Sati; Dimitri Shcherbakov; Sven N Hobbie; Andrea Vasella; Erik C Böttger; David Crich
Journal:  ACS Infect Dis       Date:  2017-04-06       Impact factor: 5.084

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