ReviewViruses2026
SARS-CoV-2 Drug-Resistant Mutations in Non-Structural Proteins.
Review in Viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Various antiviral drug therapies have been developed for the treatment of coronaviruses, particularly SARS-CoV-2. However, the emergence of drug-resistant mutations is detrimental to clinical efficacy and global public health. Antiviral usage exerts selective pressures on viruses that manufacture an environment for resistant strains to emerge, in some cases at a fitness cost. However, the appearance of a compensatory mutation can restore or improve viral fitness, allowing the strain to persist and spread in a population. Here we evaluate the drug resistance mechanisms of multiple SARS-CoV-2 non-structural proteins, including the main protease (Mpro) and the RNA-dependent RNA polymerase (RdRP), which drive polyprotein processing and viral RNA replication, as well as PLPro, EndoU, and Mac1, which contribute to viral replication and counter host innate immune responses. We also discuss several methods that could be used to avoid drug resistance in the future. By integrating the understanding of molecular mechanisms of antiviral treatment with surveillance of resistance-associated mutations and new drug therapies, appropriate clinical approaches can be developed to reduce the impact of drug resistance.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.