It has recently become possible to build reliable de novo models of proteins if a multiple sequence alignment (MSA) of at least 1000 homologous sequences can be built. Methods of global statistical network analysis can explain the observed correlations between columns in the MSA by a small set of directly coupled pairs of columns. Strong couplings are indicative of residue-residue contacts, and from the predicted contacts a structure can be computed. Here, we exploit the structural regularity of paired xcexb2-strands that leads to characteristic patterns in the noisy matrices of couplings. The xcexb2-xcexb2 contacts should be detected more reliably than single contacts, reducing the required number of sequences in the MSAs.