The DOI matches its Crossref record.
Remdesivir and SARS-CoV-2: Structural requirements at both nsp12 RdRp and nsp14 Exonuclease active-sites
Open accessAbstract
The rapid global emergence of SARS-CoV-2 has been the cause of significant health concern, highlighting the immediate need for antivirals. Viral RNA-dependent RNA polymerases (RdRp) play essential roles in viral RNA synthesis, and thus remains the target of choice for the prophylactic or curative treatment of several viral diseases, due to high sequence and structural conservation. To date, the most promising broad-spectrum class of viral RdRp inhibitors are nucleoside analogues (NAs), with over 25 approved for the treatment of several medically important viral diseases. However, Coronaviruses stand out as a particularly challenging case for NA drug design due to the presence of an exonuclease (ExoN) domain capable of excising incorporated NAs and thus providing resistance to many of these available antivirals. Here we use the available structures of the SARS-CoV RdRp and ExoN proteins, as well as Lassa virus N exonuclease to derive models of catalytically competent SARS-CoV-2 enzymes. We then map a promising NA candidate, GS-441524 (the active metabolite of Remdesivir) to the nucleoside active site of both proteins, identifying the residues important for nucleotide recognition, discrimination, and excision. Interestingly, GS-441524 addresses both enzyme active sites in a manner consistent with significant incorporation, delayed chain termination, and altered excision due to the ribose 1'-CN group, which may account for the increased antiviral effect compared to other available analogues. Additionally, we propose structural and function implications of two previously identified RdRp resistance mutations in relation to resistance against Remdesivir. This study highlights the importance of considering the balance between incorporation and excision properties of NAs between the RdRp and ExoN.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Immunity, endothelial injury and complement-induced coagulopathy in COVID-19
Perico, L., Benigni, A., Casiraghi, F., Ng, L. F. P., Renia, L., & Remuzzi, G. (2021) · Nature Reviews Nephrology · doi:10.1038/s41581-020-00357-4 · Cited by 607
Coronavirus RNA Proofreading: Molecular Basis and Therapeutic Targeting
Robson, F., Khan, K. S., Le, T. K., Paris, C., Demirbag, S., Barfuss, P., Rocchi, P., & Ng, W.-L. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.07.027 · Cited by 396
Zhang, L., Zhang, D., Wang, X., Yuan, C., Li, Y., Jia, X., Gao, X., Yen, H.-L., Cheung, P. P.-H., & Huang, X. (2021) · Physical Chemistry Chemical Physics · doi:10.1039/d0cp05948j · Cited by 52
Munawaroh, H. S. H., Gumilar, G. G., Pratiwi, R. N., Khoiriah, S. F., Ningrum, A., Martha, L., Chew, K. W., & Show, P.-L. (2024) · Algal Research · doi:10.1016/j.algal.2024.103468 · Cited by 9
Metadata
- Authors
- Shannon, A., Le, N. T.-T., Selisko, B., Eydoux, C., Alvarez, K., Guillemot, J.-C., Decroly, E., Peersen, O., Ferron, F., & Canard, B.
- Venue
- Antiviral Research
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 178
- Pages
- 104793
- ISSN
- 0166-3542 (ISSN-L)
- OpenAlex
- W3015472194
- Cited by
- 352
- References
- 0
- FWCI
- 9.08
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Remdesivir and SARS-CoV-2: Structural requirements at both nsp12 RdRp and nsp14 Exonuclease active-sites. https://app.cochat.ai/papers/10.1016/j.antiviral.2020.104793
- The paper
- Shannon, A., Le, N. T.-T., Selisko, B., Eydoux, C., Alvarez, K., Guillemot, J.-C., Decroly, E., Peersen, O., Ferron, F., & Canard, B. (2020). Remdesivir and SARS-CoV-2: Structural requirements at both nsp12 RdRp and nsp14 Exonuclease active-sites. Antiviral Research. https://doi.org/10.1016/j.antiviral.2020.104793
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.