Secret code

Protein-RNA recognition: cracking the code

In early papers, the intent was to find a simple protein-RNA/DNA recognition code. Many people expected a one-to-one correspondence between amino acids and nucleic bases, similar to the code that specifies how one DNA base pairs with another. Despite the lack of such a code, which was evident in the first crystal structures, researchers were indeed unwilling to give up on the idea. Despite the intense interest, a simple one-to-one correspondence has not materialised. The work presented here revisits this theme, and reports a general trend in which four elementary amino acids - G, A, V, and D - have a specific selectivity for four basic nucleotides - g, c, u, and a. During the evolution, as amino acid alphabets increased, new amino acids substituted G, A, V, D amino acids in way to keep hydropathic similarity and the selectivity to minimise errors in established RNA-protein interactions, 1-letter code was created. Additionally, the first nucleotide in codons is used for a 2-letter code. Protein-RNA recognition, visualised by these two code principles, uses a rotation of sensing and anti-sensing sequences in architecture of recognising peptides.

Sequence correlations between Cro recognition helices and cognate O(R) consensus half-sites suggest conserved rules of protein-DNA recognition

The O(R) regions from several lambdoid bacteriophages contain the three regulatory sites O(R)1, O(R)2 and O(R)3, to which the Cro and CI proteins can bind. These sites show imperfect dyad symmetry, have similar sequences, and generally lie on the same face of the DNA double helix. We have developed a computational method, which analyzes the O(R) regions of additional phages and predicts the location of these three sites. After tuning the method to predict known O(R) sites accurately, we used it to predict unknown sites, and ultimately compiled a database of 32 known and predicted O(R) binding site sets. We then identified sequences of the recognition helices (RH) for the cognate Cro proteins through manual inspection of multiple sequence alignments. Comparison of Cro RH and consensus O(R) half-site sequences revealed strong one-to-one correlations between two amino acids at each of three RH positions and two bases at each of three half-site positions (H1-->2, H3-->5 and H6-->6). In each of these three cases, one of the two amino acid/base-pairings corresponds to a contact observed in the crystal structure of a lambda Cro/consensus operator complex. The alternate amino acid/base combinations were rationalized using structural models. We suggest that the pairs of amino acid residues act as binary switches that efficiently modulate specificity for different consensus half-site variants during evolution. The observation of structurally reasonable amino acid-to-base correlations suggests that Cro proteins share some common rules of recognition despite their functional and structural diversity.

Amino acid-base interactions: a three-dimensional analysis of protein-DNA interactions at an atomic level

To assess whether there are universal rules that govern amino acid-base recognition, we investigate hydrogen bonds, van der Waals contacts and water-mediated bonds in 129 protein-DNA complex structures. DNA-backbone interactions are the most numerous, providing stability rather than specificity. For base interactions, there are significant base-amino acid type correlations, which can be rationalised by considering the stereochemistry of protein side chains and the base edges exposed in the DNA structure. Nearly two-thirds of the direct read-out of DNA sequences involves complex networks of hydrogen bonds, which enhance specificity. Two-thirds of all protein-DNA interactions comprise van der Waals contacts, compared to about one-sixth each of hydrogen and water-mediated bonds. This highlights the central importance of these contacts for complex formation, which have previously been relegated to a secondary role. Although common, water-mediated bonds are usually non-specific, acting as space-fillers at the protein-DNA interface. In conclusion, the majority of amino acid-base interactions observed follow general principles that apply across all protein-DNA complexes, although there are individual exceptions. Therefore, we distinguish between interactions whose specificities are 'universal' and 'context-dependent'. An interactive Web-based atlas of side chain-base contacts provides access to the collected data, including analyses and visualisation of the three-dimensional geometry of the interactions.