Skip to content
DraconiticResearch
Search Sources API
186,125 studies31 sourcesUpdated 41 min ago
PreprintCC BY-NCbioRxiv

Mapping the Fragment-Binding Landscape of SARS-CoV-2 nsp14 for Antiviral Drug Discovery

  1. 1University College London

Abstract

Non-structural protein 14 (nsp14) is a bifunctional coronavirus drug target, combining a 3'-to-5' exoribonuclease domain with an N7-methyltransferase domain. Proof-of-concept data have demonstrated beneficial effects in animal models upon inhibition. Using microscale thermophoresis and X-ray crystallography, we screened full-length nsp14 for fragment hits and developed SAR-by-catalogue analogues with five- to eight-fold improved affinity. Several scaffolds showed pronounced overlap between distinct pockets, complicating structure-based optimisation. Analysis of mutational frequencies across over 14 million SARS-CoV-2 genome sequences identified nsp14 residues with markedly high and very low mutation rates, highlighting sites best suited to pan-coronavirus inhibitor design. Combining these data with all 19 publicly known fragment- and ligand-binding regions on nsp14, most of which have never been directly compared, we introduce a systematic site-naming system and rank every site by its potential for future structure-based development. Weighing criteria include proof-of-principle inhibitor data, cross-coronavirus conservation, mutation frequency, the number of fragments bound per site, and susceptibility to crystallographic artefacts from symmetry mates. This ranked, unified binding-site atlas resolves which of the many previously reported nsp14 sites merit prioritisation, providing a practical resource for future coronavirus antiviral drug development.

Related

  1. Virology-aware artificial intelligence for respiratory antiviral discovery: from molecular docking biases to RdRp-centered benchmarking
    Luis Ruben Ramos-Cortes, Alan Orlando Santos-Mena, Luis Enrique Flores-Padilla +9
    Frontiers in PharmacologyPeer-reviewedCC BY 4.0Full textPharmacology & toxicologyCrossrefEurope PMCEurope PMCPMC
  2. Mapping the complement-targeted landscape in igA nephropathy: a systematic review with structured descriptive synthesis
    Xin-Yu Li, Chang-Ying Zhong, Li-Nan Zhang +1
    Frontiers in medicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  3. The Landscape of Tumor Dissemination in Leptomeningeal Disease: Mapping CTC Plasticity and Regional Heterogeneity Across Blood and CSF Compartments
    Stephanie N. Shishido, Baishali Chaudhuri, Vidur Mushran +7
    CancersPeer-reviewedCC BYFull textOncologyEurope PMC
  4. Development landscape of ketohexokinase-C (KHK-C) inhibitors for fructose-driven metabolic disorders: from hit discovery to clinical trials.
    Sri Venkata Gopal Ainapurapu, Timir Naskar, Ajwin Joseph Martin +1
    RSC medicinal chemistryPeer-reviewedCC BYFull textEndocrinology & metabolismEurope PMC
  5. Antibody discovery from phage libraries lacking clear target-cell-selective enrichment through NGS-guided search space definition and cloning-free binding screening
    Koichi Wada, Takeharu Watanabe, Yu Nishida +1
    Scientific ReportsPeer-reviewedCC BY 4.0Full textMedical imaging & radiologyCrossref
BibTeX
@misc{shi2026mapping,
  title = {{Mapping the Fragment-Binding Landscape of SARS-CoV-2 nsp14 for Antiviral Drug Discovery}},
  author = {X. Shi and Q. Wang and D. Dong and M. Xu and F. Al Busaidi and M. W. Bowler and S. Haider and F. Kozielski},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.21.760455},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.21.760455v1},
  note = {CC BY-NC},
}
RIS
TY  - UNPB
TI  - Mapping the Fragment-Binding Landscape of SARS-CoV-2 nsp14 for Antiviral Drug Discovery
AU  - X. Shi
AU  - Q. Wang
AU  - D. Dong
AU  - M. Xu
AU  - F. Al Busaidi
AU  - M. W. Bowler
AU  - S. Haider
AU  - F. Kozielski
PY  - 2026
DA  - 2026/10/21
PB  - bioRxiv
DO  - 10.64898/2026.10.21.760455
UR  - https://www.biorxiv.org/content/10.64898/2026.10.21.760455v1
AB  - Non-structural protein 14 (nsp14) is a bifunctional coronavirus drug target, combining a 3'-to-5' exoribonuclease domain with an N7-methyltransferase domain. Proof-of-concept data have demonstrated beneficial effects in animal models upon inhibition. Using microscale thermophoresis and X-ray crystallography, we screened full-length nsp14 for fragment hits and developed SAR-by-catalogue analogues with five- to eight-fold improved affinity. Several scaffolds showed pronounced overlap between distinct pockets, complicating structure-based optimisation. Analysis of mutational frequencies across over 14 million SARS-CoV-2 genome sequences identified nsp14 residues with markedly high and very low mutation rates, highlighting sites best suited to pan-coronavirus inhibitor design. Combining these data with all 19 publicly known fragment- and ligand-binding regions on nsp14, most of which have never been directly compared, we introduce a systematic site-naming system and rank every site by its potential for future structure-based development. Weighing criteria include proof-of-principle inhibitor data, cross-coronavirus conservation, mutation frequency, the number of fragments bound per site, and susceptibility to crystallographic artefacts from symmetry mates. This ranked, unified binding-site atlas resolves which of the many previously reported nsp14 sites merit prioritisation, providing a practical resource for future coronavirus antiviral drug development.
ER  -