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A novel multi-epitope COVID-19 vaccine developed using reverse vaccinology

A novel multi-epitope COVID-19 vaccine developed using reverse vaccinology
In late December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, China, and subsequently spread rapidly across the world. On the 11th of March 2020, the World Health Organization announced the global outbreak of coronavirus disease 2019 (COVID-19) as a pandemic. Scientists around the world are working extensively to develop new vaccines, therapeutics, and many other strategies to contain the pandemic.
SARS-CoV-2 is a positive-sense and single-stranded RNA virus that belongs to the genus Betacoronavirus of the Coronaviridae family. Some of the members of this family affect humans by causing common cold (HCoV-229E, HCoV-NL63, and HCoV-OC43), SARS (Severe Acute Respiratory Syndrome), and MERS (Middle East Respiratory Syndrome). ....

Priyom Bose , World Health Organization , Severe Acute Respiratory Syndrome , Middle East Respiratory Syndrome , Biomolecular Structure , Toll Like Receptors , Root Mean Square Fluctuation , Common Cold , Coronavirus Disease Covid 19 , Immune System , Ars Cov 2 , Evere Acute Respiratory , Evere Acute Respiratory Syndrome , T Cell , பிரீயோம் போஸ் , உலகம் ஆரோக்கியம் ஆர்கநைஸேஶந் , கடுமையானது எடுப்போசை சுவாச நோய்க்குறி , நடுத்தர கிழக்கு சுவாச நோய்க்குறி , உயிர் மூலக்கூறு அமைப்பு , டி செல் ,

Could a mathematical application of information theory identify and predict SARS-CoV-2 mutations?

An interesting new study by researchers at the University of Portsmouth, UK, describes the use of a mathematical method to sequence genomes based on information theory. The method offers an alternative to clinical techniques, allowing mutations to be detected and possibly even predicted. In this way, it opens new research opportunities in bioinformatics and genetics. ....

United Kingdom , Claude Shannon , Liji Thomas , University Of Portsmouth , Entropy Information Spectrum , Coronavirus Disease Covid 19 , Ars Cov 2 , Ibonucleic Acid , ஒன்றுபட்டது கிஂக்டம் , கிளாட் ஶ்யாநந் , பல்கலைக்கழகம் ஆஃப் போரதிஸ்மௌத் ,

Less is more? New take on machine learning helps us "scale up" phase transitions

Researchers from Tokyo Metropolitan University have enhanced "super-resolution" machine learning techniques to study phase transitions. They identified. ....

Hiroyuki Mori , Yutaka Okabe , Shibaura Institute Of Technology , Tokyo Metropolitan University , Bioinformatics Institute Of Singapore , Professors Yutaka Okabe , Shibaura Institute , Bioinformatics Institute , Machine Learning , Computer Vision , ஹீரோயுக்கி மோரி , யத்க ஒக்கபே , டோக்கியோ பெருநகர பல்கலைக்கழகம் , உயிர் தகவலியல் நிறுவனம் ,

Elucidating how the production of antibodies is regulated, one cell at a time

A study coordinated by Luís Graça, principal investigator at the Instituto de Medicina Molecular (iMM; Portugal) used lymph nodes, tonsils and blood, to show how the cells that control production of antibodies are formed and act. The results published now in the scientific journal Science Immunology unveiled key aspects about the regulation of antibody production, with significant importance for diseases where antibody production is dysregulated such as autoimmune diseases or allergies. ....

Saumya Kumar , Lobo Antunes , Medicine Health , Immunology Allergies Asthma , Internal Medicine , லோபோ அன்டுன்ஸ் , மருந்து ஆரோக்கியம் ,

Scientists call for international investment to tackle major wheat losses

Urgent investment in new tools is needed to address major global losses of wheat crops which cost £22 billion per year. ....

United States , Brande Wulff , Amber Hafeez , Sainsbury Laboratory , John Innes Centre , R Gene Atlas , South America , Agricultural Production Economics , Fertilizers Pest Management , Plant Sciences , Climate Science , Temperature Dependent Phenomena , Climate Change , ஒன்றுபட்டது மாநிலங்களில் , பிராண்டே வுல்ஃப் , சைன்ஸ்பரி ஆய்வகம் , ஜான் இநெஸ் மையம் , தெற்கு அமெரிக்கா ,