Computational analysis of hydrogen bonds in protein–RNA complexes for interaction patterns

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Abstract
Structural analysis of protein–RNA complexes is labor‐intensive, yet provides insight into the interaction patterns between a protein and RNA. As the number of protein–RNA complex structures reported has increased substantially in the last few years, a systematic method is required for automatically identifying interaction patterns. This paper presents a computational analysis of the hydrogen bonds in the most representative set of protein–RNA complexes. The analysis revealed several interesting interaction patterns. (1) While residues in the β‐sheets favored unpaired nucleotides, residues in the helices showed no preference and residues in turns favored paired nucleotides. (2) The backbone hydrogen bonds were more dominant than the base hydrogen bonds in the paired nucleotides, but the reverse was observed in the unpaired nucleotides. (3) The protein–RNA complexes contained more paired nucleotides than unpaired nucleotides, but the unpaired nucleotides were observed more frequently interacting with the proteins. And (4) Arg–U, Thr–A, Lys–A, and Asn–U were the most frequently observed pairs. The interaction patterns discovered from the analysis will provide us with useful information in predicting the structure of the RNA binding protein and the structure of the protein binding RNA.