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The Dangerous Evolution of the Coronavirus - Issue 95: Escape

The Dangerous Evolution of the Coronavirus - Issue 95: Escape
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New yorkUnited statesRockefeller universityMassachusetts institute of technologyUnited kingdomSouth africaMichel nussenzweigKatherine hobsonGoogle gmailBonnie bergerAnthony fauciBryan brysonBryan shermanThe new york timesEngineering departmentRagon institute at massachusetts

A Language AI Is Accurately Predicting Covid-19 Escape Mutations

For all their simplicity, viruses are sneaky little life forces. Take SARS-Cov-2, the virus behind Covid-19. Challenged with the human immune system, the virus has gradually reshuffled parts of its genetic material, making it easier to spread among a human population. The new strain has already terrorized South Africa and shut down the UK, and recently popped up in the United States. The silver lining is that our existing vaccines and antibody therapies are still likely to be effective against the new strain. But that’s not always the case. “Viral escape” is a nightmare scenario, in which the virus mutates just enough so that existing antibodies no longer recognize it. The consequences are dire: it means that even if you’ve already had the infection, or produced antibodies from a vaccine, those protections are now kneecapped or useless.

South africaUnited statesUnited kingdomTeresa przytyckaNational institute of healthYoo ah kimNational instituteBenhur leeBrian hieMad libsஒன்றுபட்டது மாநிலங்களில்ஒன்றுபட்டது கிஂக்டம்தேசிய நிறுவனம் ஆஃப் ஆரோக்கியம்தேசிய நிறுவனம்பென்ஹூர் லீபிரையன் ஹை

These AIs were designed to read sentences, but they can also catch coronavirus mutations

These AIs were designed to read sentences, but they can also catch coronavirus mutations
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South africaUnited kingdomBonnie bergerNatural language processingLong short term memoryBrian hieஒன்றுபட்டது கிஂக்டம்போனி பெர்கர்இயற்கை மொழி ப்ரோஸெஸிஂக்நீண்டது குறுகிய கால நினைவுபிரையன் ஹை

Model analyzes how viruses escape the immune system

Credits: Image: CDC, Douglas Jordan, Christine Daniloff, MIT Previous image Next image One reason it’s so difficult to produce effective vaccines against some viruses, including influenza and HIV, is that these viruses mutate very rapidly. This allows them to evade the antibodies generated by a particular vaccine, through a process known as “viral escape.” MIT researchers have now devised a new way to computationally model viral escape, based on models that were originally developed to analyze language. The model can predict which sections of viral surface proteins are more likely to mutate in a way that enables viral escape, and it can also identify sections that are less likely to mutate, making them good targets for new vaccines.

United kingdomSouth africaBonnie bergerBryan brysonArtificial intelligence laboratoryDepartment of defenseRagon instituteNational defense scienceNational science foundation graduate research fellowshipSimons professorArtificial intelligenceEngineering graduate fellowshipNational science foundation graduate researchSars cov 2Viral escapeNatural language processing