ArticleImmunome research2010
Models of RNA virus evolution and their roles in vaccine design.
Article in Immunome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed.
- Over time analysis of the codon usage of SARS-CoV-2 and its variants.Computational and structural biotechnology journal · 2025Article
- Haloperoxidase-mimicking CeONanoscale · 2022Article
- Phylodynamic analysis in the understanding of the current COVID-19 pandemic and its utility in vaccine and antiviral design and assessment.Human vaccines & immunotherapeutics · 2021Article
- Remdesivir MD Simulations Suggest a More Favourable Binding to SARS-CoV-2 RNA Dependent RNA Polymerase Mutant P323L Than Wild-Type.Biomolecules · 2021Article
- Role of artificial intelligence in peptide vaccine design against RNA viruses.Informatics in medicine unlocked · 2021Review
- Human neutralising antibodies elicited by SARS-CoV-2 non-D614G variants offer cross-protection against the SARS-CoV-2 D614G variant.Clinical & translational immunology · 2021Article
- Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning.Informatics in medicine unlocked · 2021Article
- Decoding SARS-CoV-2 Transmission and Evolution and Ramifications for COVID-19 Diagnosis, Vaccine, and Medicine.Journal of chemical information and modeling · 2020Article
- Evolutionary trajectory of fishEcology and evolution · 2020Article
- Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model.Chaos, solitons, and fractals · 2020Article
- Population genomics of louping ill virus provide new insights into the evolution of tick-borne flaviviruses.PLoS neglected tropical diseases · 2020Article
- Review
- A new twist in measuring mutation rates.eLife · 2017Article
- Evidence for genetic variation in Natterer's bats (Myotis nattereri) across three regions in Germany but no evidence for co-variation with their associated astroviruses.BMC evolutionary biology · 2017Article
- Next generation deep sequencing and vaccine design: today and tomorrow.Trends in biotechnology · 2012Review
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
No grant is acknowledged in the PubMed record.
Abstract
Viruses are fast evolving pathogens that continuously adapt to the highly variable environments they live and reproduce in. Strategies devoted to inhibit virus replication and to control their spread among hosts need to cope with these extremely heterogeneous populations and with their potential to avoid medical interventions. Computational techniques such as phylogenetic methods have broadened our picture of viral evolution both in time and space, and mathematical modeling has contributed substantially to our progress in unraveling the dynamics of virus replication, fitness, and virulence. Integration of multiple computational and mathematical approaches with experimental data can help to predict the behavior of viral pathogens and to anticipate their escape dynamics. This piece of information plays a critical role in some aspects of vaccine development, such as viral strain selection for vaccinations or rational attenuation of viruses. Here we review several aspects of viral evolution that can be addressed quantitatively, and we discuss computational methods that have the potential to improve vaccine design.
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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.