PADLOC: a powerful tool to assign disulfide bond connectivities in peptides and proteins by NMR spectroscopy

The determination of the disulfide bond connectivity in a peptide or protein represents a significant challenge. It is notoriously difficult to use NMR spectroscopy to assign disulfide connectivities because NMR spectra lack direct evidence for disulfide bonds. These bonds are typically inferred from three-dimensional structure calculations, which can result in ambiguous disulfide assignment. Here, we present a new NMR based methodology, in which the disulfide connectivity is obtained by applying Bayesian rules of inference to the local topology of cysteine residues. We illustrate how this approach successfully predicts the disulfide connectivity in proteins for which crystal structures are available in the protein data bank (PDB). We also demonstrate how this methodology is used with experimental NMR data for peptides with complex disulfide topologies, including hepcidin, Kalata-B1, and μ-Conotoxin KIIIA. In the case of μ-Conotoxin KIIIA, the PADLOC connectivity (1-15,2-9,4-16) differs from previously published results; additional evidence is presented demonstrating unequivocally that this newly proposed connectivity is correct.