Evidence map›Paper›PMID 36671448›Full record

ArticleBiomolecules2022

A Computer Simulation of SARS-CoV-2 Mutation Spectra for Empirical Data Characterization and Analysis.

Ming Xiao, Fubo Ma, Jun Yu, Jianghang Xie, Qiaozhen Zhang, Peng Liu, Fei Yu, Yuming Jiang, Le Zhang

Abstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Epigenetic regulation and ROS signaling in plant stress adaptation: an integrated framework.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. IFNIKB: a type I interferon database for antitumuor immunity studies.Database : the journal of biological databases and curation · 2026
    Article
  8. The role and mechanisms of vitamin A in suppressing hepatic stellate cell activation.Apoptosis : an international journal on programmed cell death · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ming XiaoCollege of Computer Science, Sichuan University, Chengdu 610065, China.
Fubo MaWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Jun YuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100049, China.
Jianghang XieCollege of Computer Science, Sichuan University, Chengdu 610065, China.
Qiaozhen ZhangCollege of Computer Science, Sichuan University, Chengdu 610065, China.
Peng LiuNational Wildlife Health Center, Hebei Agricultural University, Baoding 071001, China.
Fei YuHebei Key Laboratory of Analysis and Control of Zoonotic Pathogenic Microorganism, Hebei Agricultural University, Baoding 071001, China.ORCID 0000-0001-6332-4326
Yuming JiangCollege of Computer Science, Sichuan University, Chengdu 610065, China.
Le ZhangCollege of Computer Science, Sichuan University, Chengdu 610065, China.ORCID 0000-0002-3708-1727

Funding

China Postdoctoral Science Foundation 2020M673221National Science and Technology Major Project 2021YFF1201200Sichuan Science and Technology Program 2022YFS0048
6 · The paper itself

Abstract

It is very important to compute the mutation spectra, and simulate the intra-host mutation processes by sequencing data, which is not only for the understanding of SARS-CoV-2 genetic mechanism, but also for epidemic prediction, vaccine, and drug design. However, the current intra-host mutation analysis algorithms are not only inaccurate, but also the simulation methods are unable to quickly and precisely predict new SARS-CoV-2 variants generated from the accumulation of mutations. Therefore, this study proposes a novel accurate strand-specific SARS-CoV-2 intra-host mutation spectra computation method, develops an efficient and fast SARS-CoV-2 intra-host mutation simulation method based on mutation spectra, and establishes an online analysis and visualization platform. Our main results include: (1) There is a significant variability in the SARS-CoV-2 intra-host mutation spectra across different lineages, with the major mutations from G- > A, G- > C, G- > U on the positive-sense strand and C- > U, C- > G, C- > A on the negative-sense strand; (2) our mutation simulation reveals the simulation sequence starts to deviate from the base content percentage of Alpha-CoV/Delta-CoV after approximately 620 mutation steps; (3) 2019-NCSS provides an easy-to-use and visualized online platform for SARS-Cov-2 online analysis and mutation simulation.

Indexed as

COVID-19Computer SimulationHumansMutationSARS-CoV-2bioinformaticscomputational biologymutation simulationmutation spectraSARS-CoV-2

Identifiers

PMID36671448
PMCPMC9855923

What OpenQuestion holds

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Registered trials

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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.