Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder that leads to the death of the upper and lower motor neurons. Superoxide dismutase 1 (SOD1) is an ALS pathogenic protein, whose misfolding results in the formation of amyloid aggregates. The mechanism underlying SOD1 pathogenesis in ALS remains obscure, but one possible mechanism involves gain-of-interaction, in which the misfolded soluble SOD1 forms abnormal protein-protein interactions (PPIs) with various cellular proteins, including with other SOD1 molecules, thereby interfering with their function. The structural basis of this gain-of-interaction mechanism is unknown. Here, we characterized the backbone dynamics landscape of misfolded SOD1 to pinpoint surface areas predisposed to aberrant PPIs. This analysis enabled us to formulate a working hypothesis for the mechanism of the gain-of-function of misfolded SOD1, according to which an abnormal PPI potential results from the increased mobility of the SOD1 surface backbone. Guided by the backbone dynamics landscape, we have identified a SOD1-derived peptide that can bind SOD1 proteins and divert the typical amyloid aggregation of ALS-related SOD1 mutants toward a potentially less toxic amorphous aggregation pathway.

In contemporary drug discovery, bulk selection represents an important alternative to time consuming and expensive high-throughput screening. The selection methods, however, generally rely on affinity separation, a step that limits overall selection process efficiency. To overcome common drawbacks of conventional methods, we exploited the unique catalytic properties of an artificial enzyme, ribozyme ligase, to develop a selection methodology in which the entire detection process takes place in a homogeneous solution, thus eliminating the need for affinity separation. A molecular target is associated with the ribozyme, and library compounds are attached to a barcoded oligonucleotide that is a substrate for the ribozyme ligase. Spatial proximity resulting from specific target-compound interactions increases the probability of ribozyme ligation to the oligo-substrate, thus differentiating the interacting species from the bulk mixture. The covalent link formed between the ribozyme and target-interacting compounds diminishes the mass-action effect on the efficiency with which low-affinity and rare active species are detected. In addition, the magnitude of the detection signal associated with the interaction event renders the methodology an efficient platform for identifying inhibitors of intermolecular interactions. The proposed solution-based tethered ribozyme-ligation proximity detection method may facilitate the discovery of target-interacting compounds using both library selection and high-throughput screening approaches.