Published in

Oxford University Press, Nucleic Acids Research, 10(42), p. 6726-6741, 2014

DOI: 10.1093/nar/gku269

Links

Tools

Export citation

Search in Google Scholar

DNA–protein π-interactions in nature: abundance, structure, composition and strength of contacts between aromatic amino acids and DNA nucleobases or deoxyribose sugar

Journal article published in 2014 by Katie A. Wilson ORCID, Jennifer L. Kellie, Stacey D. Wetmore
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Four hundred twenty-eight high-resolution DNA–protein complexes were chosen for a bioinformatics study. Although 164 crystal structures (38% of those searched) contained no interactions, 574 discrete π–contacts between the aromatic amino acids and the DNA nucleobases or deoxyribose were identified using strict criteria, including visual inspection. The abundance and structure of the interactions were determined by unequivocally classifying the contacts as either π–π stacking, π–π T-shaped or sugar–π contacts. Three hundred forty-four nucleobase–amino acid π–π contacts (60% of all interactions identified) were identified in 175 of the crystal structures searched. Unprecedented in the literature, 230 DNA–protein sugar–π contacts (40% of all interactions identified) were identified in 137 crystal structures, which involve C–H···π and/or lone–pair···π interactions, contain any amino acid and can be classified according to sugar atoms involved. Both π–π and sugar–π interactions display a range of relative monomer orientations and therefore interaction energies (up to –50 (–70) kJ mol−1 for neutral (charged) interactions as determined using quantum chemical calculations). In general, DNA–protein π-interactions are more prevalent than perhaps currently accepted and the role of such interactions in many biological processes may yet to be uncovered.