Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
Leaky Scanning02:28

Leaky Scanning

During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R stands for...
Viral Mutations00:36

Viral Mutations

A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material for adaptive...
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Sacchaindols A-C, Dimeric Alkaloids with Anti-inflammatory Activity from Marine Sediment-Derived Mutant Strain <i>Saccharopolyspora erythraea</i> SCSIO 07745/<i>Δspo11</i>.

Organic letters·2026
Same author

Serum Human epididymal protein 4 as a predictor of adverse events in acute ischemic stroke patients receiving antiplatelet therapy.

BMC cardiovascular disorders·2026
Same author

Marine-derived ascofuranone as a novel inhibitor of Zika virus with therapeutic potential.

Virology·2026
Same author

A novel positive selection system for plant transformation based on microbial biuret hydrolase and biuret.

PloS one·2026
Same author

Screening and Identification of BMP5 as a Key Regulatory Gene for hPSCs Transcardiomyocyte Differentiation.

Stem cells international·2026
Same author

Recurrent SARS-CoV-2 Omicron broadly neutralizing humanized antibodies in different single human V<sub>H</sub>1-2-rearranging mouse models.

Proceedings of the National Academy of Sciences of the United States of America·2026

Related Experiment Video

Updated: May 29, 2026

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

A deep mutational scanning-informed protein language model predicts SARS-CoV-2 evolution dynamics with spatiotemporal

Sijie Yang1,2,3, Xiaowei Luo2, Jiejian Luo2

  • 1Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, P. R. China.

Nature Microbiology
|May 27, 2026
PubMed
Summary

DeepCoV, a novel deep-learning framework, accurately forecasts emerging SARS-CoV-2 variants a month in advance. This tool aids public health by identifying dominant strains and predicting their spread with reduced errors.

More Related Videos

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Related Experiment Videos

Last Updated: May 29, 2026

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Area of Science:

  • Virology
  • Genomics
  • Computational Biology

Background:

  • Real-time surveillance of emerging pathogen variants like SARS-CoV-2 is crucial for public health.
  • Current surveillance methods lack the feasibility for dynamic, real-time tracking of dominant strains.

Purpose of the Study:

  • To introduce DeepCoV, a deep-learning framework for dynamic identification of emerging SARS-CoV-2 variants with high prevalence potential.
  • To enable spatiotemporal resolution in variant surveillance and forecasting.

Main Methods:

  • Integration of deep mutational scanning (DMS)-derived mutation phenotypes.
  • Incorporation of evolutionary sequence data and epidemiological surveillance data reflecting immune pressures.
  • Benchmarking against logistic regression and other deep-learning approaches in simulated scenarios.

Main Results:

  • DeepCoV accurately forecasts lineage dominance a month in advance, reducing the false discovery rate by 90%.
  • The framework captures temporal and geographic dynamics of variant spread and reconstructs regional prevalence.
  • In silico identification of Omicron mutational hotspots revealed convergent evolution trends.

Conclusions:

  • DeepCoV offers a scalable framework for timely identification of immune-evasive variants and critical mutations.
  • Provides actionable insights for public health responses to evolving pathogens.
  • Enhances early warning systems for future pandemic preparedness.