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A unified global genotyping framework of dengue virus serotype-1 for a stratified coordinated surveillance strategy of dengue epidemics | Infectious Diseases of Poverty

Dengue is the fastest spreading arboviral disease, posing great challenges on global public health. A reproduceable and comparable global genotyping framework for contextualizing spatiotemporal epidemiological data of dengue virus (DENV) is essential for research studies and collaborative surveillance. Targeting DENV-1 spreading prominently in recent decades, by reconciling all qualified complete E gene sequences of 5003 DENV-1 strains with epidemiological information from 78 epidemic countries/areas ranging from 1944 to 2018, we established and characterized a unified global high-resolution genotyping framework using phylogenetics, population genetics, phylogeography, and phylodynamics. The defined framework was discriminated with three hierarchical layers of genotype, subgenotype and clade with respective mean pairwise distances 2–6%, 0.8–2%, and ≤ 0.8%. The global epidemic patterns of DENV-1 showed strong geographic constraints representing stratified spatial ....

United States , South Korea , Republic Of Korea , Koichiro Tamura , Monte Carlo , Sudhir Kumar , Masatoshi Nei , Pennsylvania State University , R Foundation For Statistical Computing , Virus Pathogen Resource , Hierarchical Bayesian Analysis , Population Structure , Tabless B , Bayesian Skyline , Markov Chain Monte Carlo , Trace Tracer , Statistical Computing ,

ORF10 protein mutations alter SARS-CoV-2 pathogenicity

Researchers examine 140 unique SARS-CoV-2 ORF10 sequences among 202,968 ORF10 retrieved sequences. ....

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New AI-assisted method could help counter COVID-19 mutations

New AI-assisted method could help counter COVID-19 mutations
USC researchers have developed a new method to counter emergent mutations of the coronavirus and hasten vaccine development to stop the pathogen responsible for killing thousands of people and ruining the economy.
Using artificial intelligence (AI), the research team at the USC Viterbi School of Engineering developed a method to speed the analysis of vaccines and zero in on the best potential preventive medical therapy.
The method is easily adaptable to analyze potential mutations of the virus, ensuring the best possible vaccines are quickly identified solutions that give humans a big advantage over the evolving contagion. Their machine-learning model can accomplish vaccine design cycles that once took months or years in a matter of seconds and minutes, the study says. ....

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Scientists develop AI tool that can help world stay ahead of Covid mutation

Scientists develop AI tool that can help world stay ahead of Covid mutation
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Scientists develop AI tool that can help world stay ahead of Covid mutationBy Seema Hakhu Kachru, PTI
Last Updated: Feb 06, 2021, 01:57 PM IST
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The research team using artificial intelligence developed a method to speed the analysis of vaccines and zero in on the best potential preventive medical therapy, the varsity said in a statement.
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HOUSTON: Researchers have developed a new method to counter emergent mutations of the deadly coronavirus and hasten vaccine development to stop the pathogen responsible for killing thousands of people and ruining the economy, according to a study. ....

United States , South Africa , United Kingdom , Paul Bogdan , National Center , Southern California Viterbi School , Immune Epitope Database , Virus Pathogen Resource , Hai Tool , Sountern California Viterbi School , Corona Virus , Covid Vaccine , Covid 19 , ஒன்றுபட்டது மாநிலங்களில் , ஒன்றுபட்டது கிஂக்டம் , பால் போக்டன் , தேசிய மையம் , தெற்கு கலிஃபோர்னியா விட்டர்பி பள்ளி , வைரஸ் நோய்க்கிருமி வள , ஐ கருவி , கொரோனா வைரஸ் ,

New AI Tool Can Thwart Coronavirus Mutations: Study

New AI Tool Can Thwart Coronavirus Mutations: Study
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Kachru Houston: Researchers have developed a new method to counter emergent mutations of the deadly coronavirus and hasten vaccine development to stop the pathogen responsible for killing thousands of people and ruining the economy, according to a study. The research team at the University of Southern California Viterbi School of Engineering, using artificial intelligence developed a method to speed the analysis of vaccines and zero in on the best potential preventive medical therapy, the varsity said in a statement.
The method is easily adaptable to analyse potential mutations of the virus, ensuring the best possible vaccines are quickly identified solutions that give humans a big advantage over the evolving contagion. Their machine-learning model can accomplish vaccine design cycles that once took months or years in a matter of seconds and minutes, the study says. ....

United Kingdom , United States , South Africa , Paul Bogdan , National Center , Kachru Houston , Southern California Viterbi School , Immune Epitope Database , Virus Pathogen Resource , Artificial Intelligence , Corona Virus , Coronavirus Mutations , Covid 19 , ஒன்றுபட்டது கிஂக்டம் , ஒன்றுபட்டது மாநிலங்களில் , பால் போக்டன் , தேசிய மையம் , கச்ரு ஹூஸ்டன் , தெற்கு கலிஃபோர்னியா விட்டர்பி பள்ளி , வைரஸ் நோய்க்கிருமி வள , செயற்கை உளவுத்துறை , கொரோனா வைரஸ் , சர்வதேச பரவல் ,