Enterovirus-D68 (EV68) has emerged as a global health concern over the last decade with severe symptomatic infections resulting in long-lasting neurological deficits and death. Unfortunately, there are currently no FDA-approved antiviral drugs for EV68 or any other non-polio enterovirus. One particularly attractive class of potential drugs are small molecules inhibitors, which can target the conserved active site of EV68-3C protease. For other viral proteases, we have demonstrated that the emergence of drug resistance can be minimized by designing inhibitors that leverage the evolutionary constraints of substrate specificity. However, the structural characterization of EV68-3C protease bound to its substrates has been lacking. Here, we have determined the substrate specificity of EV68-3C protease through molecular modeling, molecular dynamics (MD) simulations, and co-crystal structures. Molecular models enabled us to successfully characterize the conserved hydrogen-bond networks between EV68-3C protease and the peptides corresponding to the viral cleavage sites. In addition, co-crystal structures we determined have revealed substrate-induced conformational changes of the protease which involved new interactions, primarily surrounding the S1 pocket. We calculated the substrate envelope, the three-dimensional consensus volume occupied by the substrates within the active site. With the elucidation of the EV68-3C protease substrate envelope, we evaluated how 3C protease inhibitors, AG7088 and SG-85, fit within the active site to predict potential resistance mutations.

Enterovirus-D68 (EV68) continues to present as a global health issue causing respiratory illness and outbreaks associated with long-lasting neurological disease, with no antivirals or specific treatment options. The development of antiviral therapeutics, such as small-molecule inhibitors that target conserved proteins like the enteroviral 3C protease, remains to be achieved. While various 3C inhibitors have been investigated, their design does not consider the potential emergence of drug resistance mutations. For other antivirals where resistance has been a challenge, we have demonstrated that the likelihood of resistance can be minimized by designing inhibitors that leverage the evolutionary constraints of the target. Here, we characterize a series of 3C inhibitors against EV68-3C protease through enzyme inhibition, protein crystallography, and structural analysis. We have determined and analyzed three high-resolution inhibitor-bound crystal structures of EV68-3C protease, which revealed possible sites of resistance mutations, a key structural water molecule conserved during ligand binding, and the conformational flexibility of the catalytic histidine H40. This structural analysis combined with enzymatic assays provides insights for the rational design of inhibitors that are robust against resistance toward developing antiviral treatments for EV68 infections.

How patient and tumor factors influence clearance margins and the number of Mohs Micrographic Surgery (MMS) stages when treating basal cell carcinoma (BCC) remains widely uncharacterized. It is important to elucidate these relationships, as surgical outcomes may be compared nationally between colleagues. Our objective is to evaluate the relationships between defect size and patient demographics, as well as between BCC subtypes and the number of MMS stages. Our second objective is to compare practice patterns and characteristics of patients requiring MMS at academic centers and private practices. A retrospective chart review was performed using data collected at academic centers (2015–2018) and private practices (2011–2018) of BCC patients older than 18 years old who underwent MMS. In total, 7651 patients with BCC requiring MMS were identified. Academic center adjusted analyses demonstrated clearance margins 0.1 mm higher for every year’s increase in age (p < 0.0001) and 0.25 increase in MMS stages for high-risk BCC (p < 0.0001). Private practice adjusted analyses demonstrated clearance margins 0.04 mm higher for every year’s increase in age (p < 0.0001). Clearance margins correlate with older age, and additional MMS stages correlate with high-risk BCC, suggesting the role patient and tumor factors may play in predicting tumor clearance and MMS stages.