Related Experiment Video
Updated: Nov 21, 2025
07:55
Generation of Escape Variants of Neutralizing Influenza Virus Monoclonal Antibodies
Published on: August 29, 2017
12.0K
Learning the language of viral evolution and escape.
Brian Hie1,2, Ellen D Zhong1,3, Bonnie Berger4,5
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Science (New York, N.Y.)
|January 15, 2021
Summary
Machine learning models, originally for language, can predict viral escape mutations. These mutations allow viruses like influenza and SARS-CoV-2 to evade the immune system while remaining infectious.
Area of Science:
- Virology
- Computational Biology
- Immunology
Background:
- Viral escape, where viruses mutate to evade the immune system, hinders antiviral and vaccine development.
- Understanding the mechanisms of viral escape is crucial for designing effective therapeutics.
Purpose of the Study:
- To model viral escape using machine learning algorithms adapted from natural language processing.
- To identify mutations that allow viruses to evade immune detection while maintaining infectivity.
Main Methods:
- Applied machine learning language models to analyze viral protein sequences.
- Developed an analogy between viral mutations and linguistic changes that alter meaning but preserve grammatical structure.
- Utilized sequence data alone to predict viral escape patterns.
Main Results:
- Successfully modeled viral escape for influenza hemagglutinin, HIV-1 envelope glycoprotein (HIV Env), and SARS-CoV-2 Spike proteins.
- Demonstrated accurate prediction of structural escape patterns using sequence data.
- Identified escape mutations as those preserving infectivity while altering immune recognition.
Conclusions:
- Machine learning language models offer a novel approach to understanding and predicting viral escape.
- This study bridges natural language processing concepts with viral evolution.
- The findings have implications for the development of next-generation antivirals and vaccines.
Related Concept Videos
00:36Viral Mutations
37.7K
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...
37.7K
02:28Leaky Scanning
5.4K
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...
5.4K
00:57Viral Recombination
24.4K
Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
24.4K
01:28Introduction to Virus
726
Viruses are unique biological entities that blur the boundary between living and non-living systems. Although they lack cellular structure and metabolic processes, they can exhibit characteristics of life when infecting a host. Their defining feature is a nucleic acid core, composed of either DNA or RNA, encapsulated within a protein coat called a capsid. This simple structure allows them to invade host cells and use their machinery for replication efficiently.Viral Structure and...
726
01:09Mutation, Gene Flow, and Genetic Drift
60.9K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
60.9K
01:29Viruses with RNA Genomes
416
RNA viruses are categorized into positive-strand, negative-strand, or double-stranded groups based on their genomic structure and replication mechanisms. This classification dictates how they exploit host cellular machinery for protein synthesis and replication. Some RNA viruses also utilize reverse transcription as part of their life cycle, further diversifying their replication strategies.Positive-Strand RNA VirusesPositive-strand RNA viruses have genomes that function directly as messenger...
416