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Development of Selective Antiviral RNA-Degrading Chimeras Mimicking Ribonuclease Activity

  • Funded by National Institutes of Health (NIH)
  • Total publications:0 publications

Grant number: 1R21AI199121-01

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Key facts

  • Disease

    Zika virus disease
  • Start & end year

    2026
    2028
  • Known Financial Commitments (USD)

    $442,296
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    ASSISTANT PROFESSOR Jingxin Wang
  • Research Location

    United States of America
  • Lead Research Institution

    UNIVERSITY OF CHICAGO
  • Research Priority Alignment

    N/A
  • Research Category

    Therapeutics research, development and implementation

  • Research Subcategory

    Pre-clinical studies

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

PROJECT SUMMARY Endogenous ribonucleases (RNases) are an important component of the host immune response to viral infections. Mimicking the RNase function, RNA-degrading chimeras (RDC) are a class of molecules that selectively bind RNA and recruit RNases, typically RNase L, to cleave the viral RNA. However, RNase L- dependent RDCs typically achieve only ~75% RNA knockdown, insufficient for complete viral clearance. To overcome this limitation, we propose to develop a novel class of direct-acting antivirals: RDCs that cleave RNA directly through general acid-general base catalysis, more faithfully mimicking the mechanism of natural ribonucleases. Additionally, we will improve the selectivity of RNA-binding scaffolds by targeting a conserved viral RNA structure and developing a high-throughput synthesis and screening pipeline. Importantly, we will implement a second-generation chemical-guided SHAPE sequencing (cgSHAPE-seq) technology for activity- based RNA profiling. This platform will enable competitive, transcriptome-wide evaluation of ligand binding specificity in live cells. We will demonstrate the effectiveness of this new approach to antiviral design in the context of Zika virus (ZIKV), a mosquito-borne flavivirus associated with severe neurological disorders, including Guillain-Barré syndrome and microcephaly. We hypothesize that our optimized RDCs will significantly reduce ZIKV RNA levels both in vitro and in ZIKV-infected human neural progenitor cells. This project represents the first application of RDCs to directly degrade ZIKV RNA and introduces a generalizable strategy for RNA-targeting antiviral development. By establishing robust methods for RNA binding optimization and transcriptome-wide selectivity profiling, this work has the potential to revolutionize antiviral drug discovery and provide a scalable approach to combat emerging RNA viral threats. 1