Stacey, J. | Search bioRxiv

bioRxiv2025

Structure-Activity Relationship Studies Towards Analogues of Pleconaril as Novel Enterovirus-D68 Capsid-Targeting Antivirals

Non-polio enteroviruses (NPEV) such as enterovirus D68 (EV-D68) that are highly infectious and associated with polio-like neurological complications have caused out-breaks, globally, in recent years. While some clinical and preclinical compounds have shown efficacy against NPEV in-vitro, liabilities that caused historical compounds such as pleconaril to fall short of FDA approval still remain. We present herein SAR and SPR studies of analogues of clinical compounds such as pleconaril and vapendavir against EV-D68 as a representative NPEV. Numerous structurally differentiated analogues with EV-D68 antiviral activity and useful ADME properties were discovered, which could serve as starting points for future EV drug discovery campaigns. Screening against a panel of enteroviruses revealed moderately broad-spectrum anti-EV activity of compound 26.

pharmacology and toxicology↗

bioRxiv2025

A Structure-Based Computational Pipeline for Broad-Spectrum Antiviral Discovery

The rapid emergence of viruses with pandemic potential continues to pose a threat to public health worldwide. With the typical drug discovery pipeline taking an average of 5-10 years to reach clinical readiness, there is an urgent need for strategies to develop broad-spectrum antivirals that can target multiple viral family members and variants of concern. We present a structure-based computational pipeline designed to identify and evaluate broad-spectrum inhibitors across viral family members for a given target in order to support spectrum breadth assessment and prioritization in lead optimization programs. This pipeline comprises three key steps: (1) an automated search to identify viral sequences related to a specified target construct, (2) pose prediction leveraging any available structural data, and (3) scoring of protein-ligand complexes to estimate antiviral activity breadth. The pipeline is implemented using the drugforge package: an open-source toolkit for structure-based antiviral discovery. To validate this framework, we retrospectively evaluated two overlapping datasets of ligands bound to the SARS-CoV-2 and MERS-CoV main protease (Mpro), observing useful predictive power with respect to experimental binding affinities. Additionally, we screened known SARS-CoV-2 Mpro inhibitors against a panel of human and non-human coronaviruses, demonstrating the potential of this approach to assess broad-spectrum antiviral activity. Our computational strategy aims to accelerate the identification of antiviral therapies for current and emerging viruses with pandemic potential, contributing to global preparedness for future outbreaks.

bioinformatics↗