The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Anti-HCV, nucleotide inhibitors, repurposing against COVID-19
Open accessAbstract
Aims A newly emerged Human Coronavirus (HCoV) is reported two months ago in Wuhan, China (COVID-19). Until today >2700 deaths from the 80,000 confirmed cases reported mainly in China and 40 other countries. Human to human transmission is confirmed for COVID-19 by China a month ago. Based on the World Health Organization (WHO) reports, SARS HCoV is responsible for >8000 cases with confirmed 774 deaths. Additionally, MERS HCoV is responsible for 858 deaths out of about 2500 reported cases. The current study aims to test anti-HCV drugs against COVID-19 RNA dependent RNA polymerase (RdRp). Materials and methods In this study, sequence analysis, modeling, and docking are used to build a model for Wuhan COVID-19 RdRp. Additionally, the newly emerged Wuhan HCoV RdRp model is targeted by anti-polymerase drugs, including the approved drugs Sofosbuvir and Ribavirin. Key findings The results suggest the effectiveness of Sofosbuvir, IDX-184, Ribavirin, and Remidisvir as potent drugs against the newly emerged HCoV disease. Significance The present study presents a perfect model for COVID-19 RdRp enabling its testing in silico against anti-polymerase drugs. Besides, the study presents some drugs that previously proved its efficiency against the newly emerged viral infection.
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
Cites
Density-functional thermochemistry. III. The role of exact exchange
Becke, A. D. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464913 · Cited by 103,767
Trott, O., & Olson, A. J. (2010) · Journal of Computational Chemistry · doi:10.1002/jcc.21334 · Cited by 38,412
AQUA and PROCHECK-NMR: Programs for checking the quality of protein structures solved by NMR
Laskowski, R., Rullmann, J. A., MacArthur, M., Kaptein, R., & Thornton, J. (1996) · Journal of Biomolecular NMR · doi:10.1007/bf00228148 · Cited by 5,502
Hui, D. S., I Azhar, E., Madani, T. A., Ntoumi, F., Kock, R., Dar, O., Ippolito, G., Mchugh, T. D., Memish, Z. A., Drosten, C., et al. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.01.009 · Cited by 3,809
Announcing the worldwide Protein Data Bank
Berman, H., Henrick, K., & Nakamura, H. (2003) · Nature Structural & Molecular Biology · doi:10.1038/nsb1203-980 · Cited by 3,093
Cited by
The FDA-approved drug ivermectin inhibits the replication of SARS-CoV-2 in vitro.
Caly, L., Druce, J. D., Catton, M. G., Jans, D. A., & Wagstaff, K. M. (2020) · Antiviral Research · doi:10.1016/j.antiviral.2020.104787 · Cited by 2,179
Naqvi, A. A. T., Fatima, K., Mohammad, T., Fatima, U., Singh, I. K., Singh, A., Atif, S. M., Hariprasad, G., Hasan, G. M., & Hassan, M. I. (2020) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2020.165878 · Cited by 1,114
COVID-19: Transmission, prevention, and potential therapeutic opportunities
Lotfi, M., Hamblin, M. R., & Rezaei, N. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2020.05.044 · Cited by 1,016
The epidemiology, diagnosis and treatment of COVID-19
Zhai, P., Ding, Y., Wu, X., Long, J., Zhong, Y., & Li, Y. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.105955 · Cited by 1,014
Assessment and characterisation of post‐COVID‐19 manifestations
Kamal, M., Abo Omirah, M., Hussein, A., & Saeed, H. (2021) · International Journal of Clinical Practice · doi:10.1111/ijcp.13746 · Cited by 603
Metadata
- Authors
- Elfiky, A. A.
- Venue
- Life Sciences
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 248
- Pages
- 117477
- ISSN
- 0024-3205 (ISSN-L)
- OpenAlex
- W3007227604
- Cited by
- 715
- References
- 5
- FWCI
- 20.28
- Type
- journal article
- Language
- en
- Open access
- green
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: Anti-HCV, nucleotide inhibitors, repurposing against COVID-19. https://app.cochat.ai/papers/10.1016/j.lfs.2020.117477
- The paper
- Elfiky, A. A. (2020). Anti-HCV, nucleotide inhibitors, repurposing against COVID-19. Life Sciences. https://doi.org/10.1016/j.lfs.2020.117477
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.