ArticleJournal of pathogens2012
Understanding Viral Transmission Behavior via Protein Intrinsic Disorder Prediction: Coronaviruses.
Article in Journal of pathogens, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review with meta-analysis: SARS-CoV-2 stool testing and the potential for faecal-oral transmission.Alimentary pharmacology & therapeutics · 2020Pooled it
- Clues to Long COVID Linked to Virulence and Infectivity Found in Shell Proteins.Advances in respiratory medicine · 2026Review
- A Comparative Experimental and Computational Study on the Nature of the Pangolin-CoV and COVID-19 Omicron.International journal of molecular sciences · 2024Article
- Looking at the Pathogenesis of the Rabies Lyssavirus Strain Pasteur Vaccins through a Prism of the Disorder-Based Bioinformatics.Biomolecules · 2022Article
- A Study on the Nature of SARS-CoV-2 Using the Shell Disorder Models: Reproducibility, Evolution, Spread, and Attenuation.Biomolecules · 2022Article
- Shell Disorder Models Detect That Omicron Has Harder Shells with Attenuation but Is Not a Descendant of the Wuhan-Hu-1 SARS-CoV-2.Biomolecules · 2022Article
- Mathematical model, forecast and analysis on the spread of COVID-19.Chaos, solitons, and fractals · 2021Article
- Mutations in membrane-fusion subunit of spike glycoprotein play crucial role in the recent outbreak of COVID-19.Journal of medical virology · 2021Article
- The highly flexible disordered regions of the SARS-CoV-2 nucleocapsid N protein within the 1-248 residue construct: sequence-specific resonance assignments through NMR.Biomolecular NMR assignments · 2021Article
- Comparison of the SARS-CoV-2 (2019-nCoV) M protein with its counterparts of SARS-CoV and MERS-CoV species.Journal of King Saud University. Science · 2021Article
- COVID-19 in the environment.Chemosphere · 2021Review
- Roles, Characteristics, and Analysis of Intrinsically Disordered Proteins: A Minireview.Life (Basel, Switzerland) · 2020Review
- Shell disorder analysis predicts greater resilience of the SARS-CoV-2 (COVID-19) outside the body and in body fluids.Microbial pathogenesis · 2020Article
- Nipah shell disorder, modes of infection, and virulence.Microbial pathogenesis · 2020Article
- Rigidity of the Outer Shell Predicted by a Protein Intrinsic Disorder Model Sheds Light on the COVID-19 (Wuhan-2019-nCoV) Infectivity.Biomolecules · 2020Article
- Intrinsically disordered proteins of viruses: Involvement in the mechanism of cell regulation and pathogenesis.Progress in molecular biology and translational science · 2020Review
- ssRNA Virus and Host Lipid Rearrangements: Is There a Role for Lipid Droplets in SARS-CoV-2 Infection?Frontiers in molecular biosciences · 2020Review
- Zika and Flavivirus Shell Disorder: Virulence and Fetal Morbidity.Biomolecules · 2019Article
- HIV Vaccine Mystery and Viral Shell Disorder.Biomolecules · 2019Review
- Drawing on disorder: How viruses use histone mimicry to their advantage.The Journal of experimental medicine · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Besides being a common threat to farm animals and poultry, coronavirus (CoV) was responsible for the human severe acute respiratory syndrome (SARS) epidemic in 2002-4. However, many aspects of CoV behavior, including modes of its transmission, are yet to be fully understood. We show that the amount and the peculiarities of distribution of the protein intrinsic disorder in the viral shell can be used for the efficient analysis of the behavior and transmission modes of CoV. The proposed model allows categorization of the various CoVs by the peculiarities of disorder distribution in their membrane (M) and nucleocapsid (N). This categorization enables quick identification of viruses with similar behaviors in transmission, regardless of genetic proximity. Based on this analysis, an empirical model for predicting the viral transmission behavior is developed. This model is able to explain some behavioral aspects of important coronaviruses that previously were not fully understood. The new predictor can be a useful tool for better epidemiological, clinical, and structural understanding of behavior of both newly emerging viruses and viruses that have been known for a long time. A potentially new vaccine strategy could involve searches for viral strains that are characterized by the evolutionary misfit between the peculiarities of the disorder distribution in their shells and their behavior.
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.