ArticleThe journal of physical chemistry letters2022
Omicron BA.2 (B.1.1.529.2): High Potential for Becoming the Next Dominant Variant.
Article in The journal of physical chemistry letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.
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
65 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.
- Severity and Outcomes of SARS-CoV-2 Reinfection Compared with Primary Infection: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2023Pooled it
- CAKR: commutative algebra k-mer representations for genomics.Nature communications · 2026Article
- Persistent sheaf Laplacian analysis of protein stability and solubility changes upon mutation.Protein science : a publication of the Protein Society · 2026Article
- Genomic characterization of SARS-CoV-2 variants circulating in the population of Bangui, Central African Republic (CAR) in 2022.Virology journal · 2026Article
- Topological data analysis and topological deep learning beyond persistent homology: a review.Artificial intelligence review · 2026Article
- Leveraging knowledge graphs and large language models for integrating molecular variants and clinical insights in COVID-19 research.Biosafety and health · 2026Article
- A Review of Topological Data Analysis and Topological Deep Learning in Molecular Sciences.Journal of chemical information and modeling · 2025Review
- Structural Analysis of the SARS-CoV-2 Spike N-Terminal Domain Across Wild-Type and Recent Variants: A Comparative Study.Proteins · 2025Article
- Interprotomer crosstalk in mosaic viral glycoprotein trimers provides insight into polyvalent immunogen co-assembly.PLoS pathogens · 2025Article
- The presence of neutralizing antibodies against omicron subvariants among a vaccinated cohort at one year after the first dose of vaccination in Malaysia.Scientific reports · 2025Article
- A review of machine learning methods for imbalanced data challenges in chemistry.Chemical science · 2025Review
- Research Progress on the Structure and Function, Immune Escape Mechanism, Antiviral Drug Development Methods, and Clinical Use of SARS-CoV-2 MMolecules (Basel, Switzerland) · 2025Review
- Identification of a novel dual-targeting peptide inhibitor of SARS-CoV-2 RBD and NRP1 through structure-based virtual screening.Frontiers in pharmacology · 2025Article
- Decoding the cross-immune pressure: Dengue's role in SARS-CoV-2 evolution.Computational and structural biotechnology journal · 2025Article
- Rapid response to fast viral evolution using AlphaFold 3-assisted topological deep learning.Virus evolution · 2025Article
- Persistent Mayer Dirac.Journal of physics. Complexity · 2024Article
- Rapid response to fast viral evolution using AlphaFold 3-assisted topological deep learning.ArXiv · 2024Article
- Preventing future zoonosis: SARS-CoV-2 mutations enhance human-animal cross-transmission.Computers in biology and medicine · 2024Article
- Knot data analysis using multiscale Gauss link integral.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Position: Topological Deep Learning is the New Frontier for Relational Learning.Proceedings of machine learning research · 2024Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
- Update of
- Update of
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The Omicron variant has three subvariants: BA.1 (B.1.1.529.1), BA.2 (B.1.1.529.2), and BA.3 (B.1.1.529.3). BA.2 is found to be able to alarmingly reinfect patients originally infected by Omicron BA.1. An important question is whether BA.2 or BA.3 will become a new dominating "variant of concern". Currently, no experimental data has been reported about BA.2 and BA.3. We construct a novel algebraic topology-based deep learning model to systematically evaluate BA.2's and BA.3's infectivity, vaccine breakthrough capability, and antibody resistance. Our comparative analysis of all main variants, namely, Alpha, Beta, Gamma, Delta, Lambda, Mu, BA.1, BA.2, and BA.3, unveils that BA.2 is about 1.5 and 4.2 times as contagious as BA.1 and Delta, respectively. It is also 30% and 17-fold more capable than BA.1 and Delta, respectively, to escape current vaccines. Therefore, we project that Omicron BA.2 is on a path to becoming the next dominant variant. We forecast that like Omicron BA.1, BA.2 will also seriously compromise most existing monoclonal antibodies. All key predictions have been nearly perfectly confirmed before the official publication of this work.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.