Fluorescence Blinking Patterns Fingerprint the Local Protein Environment

Abstract

The function of a protein depends not only on its sequence but on post-translational modifications and folding that produce functionally distinct proteoforms. Single-molecule methods for protein identification, such as nanopore sequencing, typically require denaturation or proteolysis, sacrificing conformational information that contributes to proteoform diversity. Here, we identify intact, folded proteins by recording an optical fingerprint of their local surface chemistry using a single covalent label. The signal is produced by a spontaneously blinking fluorophore attached to the protein through established bioconjugation reactions. The thermodynamics and kinetics of its switching between a fluorescent and a dark state are influenced by the immediate protein environment in a chemically interpretable manner. Further discriminative information can be extracted using deep learning to achieve excellent identification accuracy. Using this approach, we distinguish different proteins, different pockets of the same protein, and the presence of a single post-translational modification, in each case tracing the classification back to a distinct physicochemical mechanism. These results establish single-molecule fluorescence blinking as both a protein fingerprinting method and a probe of local chemistry on the surface of folded proteins.