Among the many unprecedented aspects of the SARS-CoV-2 pandemic is the intense virological monitoring that has occurred, with more than two million virus isolates having undergone partial or complete genomic sequencing. Initially, genetic sequencing suggested that SARS-CoV-2 was exceptionally well adapted to humans, spreading rapidly with little evidence for natural selection among circulating viruses. This changed during the later months of 2020, with the first reports of emergent SARS-CoV-2 variants associated with increased transmissibility, disease severity and escape from humoral immunity.In this Review, we create a framework for understanding SARS-COV-2 variants by describing fundamental aspects of SARS-CoV-2 evolution, the structure and function of the SARS-CoV-2 spike protein and the laboratory methods used to characterize spike variants. We then describe the biological properties and epidemiological characteristics of these variants and their associated mutations. Lastly, we describe the types of study required for the research, clinical and public health communities to respond to the new threat posed by emerging SARS-CoV-2 variants. Given the wide public interest in this topic, we provide a box of key points. We also provide a repository of the SARS-CoV-2 variant neutralization data discussed in this Review (Stanford University Coronavirus Antiviral & Resistance Database -Susceptibility Data). SARS-CoV-2 evolutionCoronaviruses contain an exonuclease enzyme that reduces their replication error rate by about 15-fold to 20-fold in vitro, resulting in an in vivo viral mutation rate about 10-fold lower than that of influenza 1-3 . Nonetheless, they accumulate mutations and generate further diversity through the process of recombination when variants with different mutations infect the same host [4][5][6] . Recombination between different SARS-related coronaviruses is likely to have led to the emergence of SARS-CoV-2 (ref. 7 ) and, although it can be difficult to detect owing to the similarity of most sequences, recombination is occurring to some extent among circulating SARS-CoV-2 variants 6,8 . Additionally, host-mediated RNA editing by APOBeC and ADAr enzymes, as evidenced by the dominance of C to U changes in specific dinucleotide contexts, contributes to SARS-CoV-2 diversity 9,10 .Although it had been previously assumed that waning immunity explained the observation that people are commonly reinfected with endemic common-cold coronaviruses 11 , recent studies suggest that antigenic drift also contributes to the lack of long-lasting protection following coronavirus infections 12,13 . HCoV-229E and HCoV-OC43 sequences over a 30-year period demonstrate a ladder-like phylogenetic tree topology consistent with the emergence of novel variants sweeping

Background Characterizing the mutations selected by the integrase strand transfer inhibitor (INSTI) dolutegravir and their effects on susceptibility is essential for identifying viruses less likely to respond to dolutegravir therapy and for monitoring persons with virological failure (VF) on dolutegravir therapy. Methods We systematically reviewed dolutegravir resistance studies to identify mutations emerging under dolutegravir selection pressure, the effect of INSTI resistance mutations on in vitro dolutegravir susceptibility, and the virological efficacy of dolutegravir in antiretroviral-experienced persons. Results and conclusions We analysed 14 studies describing 84 in vitro passage experiments, 26 studies describing 63 persons developing VF plus INSTI resistance mutations on a dolutegravir-containing regimen, 41 studies describing dolutegravir susceptibility results, and 22 clinical trials and 16 cohort studies of dolutegravir-containing regimens. The most common INSTI resistance mutations in persons with VF on a dolutegravir-containing regimen were R263K, G118R, N155H and Q148H/R, with R263K and G118R predominating in previously INSTI-naive persons. R263K reduced dolutegravir susceptibility ∼2-fold. G118R generally reduced dolutegravir susceptibility >5-fold. The highest levels of reduced susceptibility occurred in viruses containing Q148 mutations in combination with G140 and/or E138 mutations. Dolutegravir two-drug regimens were highly effective for first-line therapy and for virologically suppressed persons provided dolutegravir’s companion drug was fully active. Dolutegravir three-drug regimens were highly effective for salvage therapy in INSTI-naive persons provided one or more of dolutegravir’s companion drugs was fully active. However, dolutegravir monotherapy in virologically suppressed persons and functional dolutegravir monotherapy in persons with active viral replication were associated with a non-trivial risk of VF plus INSTI resistance mutations.

As novel SARS-CoV-2 variants with different patterns of spike protein mutations have emerged, the susceptibility of these variants to neutralization by antibodies has been rapidly assessed. However, neutralization data are generated using different approaches and are scattered across different publications making it difficult for these data to be located and synthesized. The Stanford Coronavirus Resistance Database (CoV-RDB; https://covdb.stanford.edu) is designed to house comprehensively curated published data on the neutralizing susceptibility of SARS-CoV-2 variants and spike mutations to monoclonal antibodies (mAbs), convalescent plasma (CP), and vaccinee plasma (VP). As of December 31, 2021, CoV-RDB encompassed 257 publications including 91 (35%) containing 9,070 neutralizing mAb susceptibility results, 131 (51%) containing 16,773 neutralizing CP susceptibility results, and 178 (69%) containing 33,540 neutralizing VP results. The database also records which spike mutations are selected during in vitro passage of SARS-CoV-2 in the presence of mAbs and which emerge in persons receiving mAbs as treatment. The CoV-RDB interface interactively displays neutralizing susceptibility data at different levels of granularity by filtering and/or aggregating query results according to one or more experimental conditions. The CoV-RDB website provides a companion sequence analysis program that outputs information about mutations present in a submitted sequence and that also assists users in determining the appropriate mutation-detection thresholds for identifying non-consensus amino acids. The most recent data underlying the CoV-RDB can be downloaded in its entirety from a GitHub repository in a documented machine-readable format.

Background: To prioritize the development of antiviral compounds, it is necessary to compare their relative preclinical activity and clinical efficacy. Methods: We reviewed in vitro, animal model, and clinical studies of candidate anti-coronavirus compounds and placed extracted data in an online relational database. Results: As of August 2020, the Coronavirus Antiviral Research Database (CoV-RDB; covdb.stanford.edu) contained over 2800 cell culture, entry assay, and biochemical experiments, 259 animal model studies, and 73 clinical studies from over 400 published papers. SARS-CoV-2, SARS-CoV, and MERS-CoV account for 85% of the data. Approximately 75% of experiments involved compounds with known or likely mechanisms of action, including monoclonal antibodies and receptor binding inhibitors (21%), viral protease inhibitors (17%), miscellaneous host-acting inhibitors (10%), polymerase inhibitors (9%), interferons (7%), fusion inhibitors (5%), and host protease inhibitors (5%). Of 975 compounds with known or likely mechanism, 135 (14%) are licensed in the U.S. for other indications, 197 (20%) are licensed outside the U.S. or are in human trials, and 595 (61%) are pre-clinical investigational compounds. Conclusion: CoV-RDB facilitates comparisons between different candidate antiviral compounds, thereby helping scientists, clinical investigators, public health officials, and funding agencies prioritize the most promising compounds and repurposed drugs for further development.

The development of effective antiviral therapy for COVID-19 is critical for those awaiting vaccination, as well as for those who do not respond robustly to vaccination. This review summarizes 1 year of progress in the race to develop antiviral therapies for COVID-19, including research spanning preclinical and clinical drug development efforts, with an emphasis on antiviral compounds that are in clinical development or that are high priorities for clinical development.