Corona Virus

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Machine Learning Meets Virology: Scripps Scientists Unveil Tracking and Early Warning System for Viral Pandemics
ByNeegar Naushaba Iqbal July 26, 2023July 27, 2023
Imagine possessing the power to foresee the appearance of hazardous ⁠ viral strains well in advance of their impact. The scientists at Scripps Research in the USA invented an ML algorithm that employs spatial covariance, ⁠ built upon Gaussian process (GP) principles, to monitor how genetic changes influence host-pathogen balance in biological contexts. Utilizing GP-based…
Read More Machine Learning Meets Virology: Scripps Scientists Unveil Tracking and Early Warning System for Viral Pandemics
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New Study Shows Pan-variant mRNA-LNP T Cell Vaccine Proves Effective Against SARS-CoV-2 Beta
BySejal Saxena March 15, 2023March 15, 2023
Current COVID-19 vaccines induce neutralizing antibodies that can inhibit viral entry, but their efficiency decreases when new variations arise. On the basis of short peptide epitopes that stimulate CD8+ and CD4+ T cell responses, scientists have created a new mRNA-LNP (Lipid nanoparticle) vaccine called MIT-T-COVID. Researchers evaluated this novel vaccination on mice infected with the…
Read More New Study Shows Pan-variant mRNA-LNP T Cell Vaccine Proves Effective Against SARS-CoV-2 Beta
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Researchers Develop a Machine Learning Model to Predict Whether a COVID-19 Test Might be Positive or Not
ByRiya Vishwakarma December 17, 2022December 17, 2022
A study from Florida Atlantic University used machine learning to provide new evidence for understanding how molecular tests and serology tests are correlated and what features are most useful in COVID-19 testing. This could be useful in helping healthcare providers prioritize testing and treatment for patients most likely to have the virus. Severe Acute Respiratory…
Read More Researchers Develop a Machine Learning Model to Predict Whether a COVID-19 Test Might be Positive or Not
Bioinformatics | Biomedical Engineering | Corona Virus | COVID-19 | Covid-19 News | Health | Infectious Diseases | Machine Learning | News | Paper Summary | Trending
Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out COVID-19 Based on Exhaled Breath-print Recognition
ByTanveen Kaur August 19, 2022August 19, 2022
Universitas Gadjah Mada, Indonesia, scientists developed a low-cost, non-invasive method to rapidly sniff out COVID-19 by using an electronic nose named “GeNose C19”. The method of RT-qPCR, which stands for a reverse transcription-quantitative polymerase chain reaction, has been widely utilized to identify the SARS-CoV-2 virus that causes COVID-19. However, clinicians frequently prefer to use a…
Read More Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out COVID-19 Based on Exhaled Breath-print Recognition
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Scientists Recognize Extended Continuous Similarity Indices as a Novel Tool to Study the Conformational Diversity in Molecular Dynamics Simulation
ByTanveen Kaur August 8, 2022August 8, 2022
Scientists from the University of Florida, US, and the Research Centre for Natural Science, Hungary, developed a new frame selection algorithm, “ECS-MeDiv,” as an application of the extended continuous similarity indices to describe the conformational diversity in a set of structures. A fundamental approach to molecular modeling and computational design for the investigation of the…
Read More Scientists Recognize Extended Continuous Similarity Indices as a Novel Tool to Study the Conformational Diversity in Molecular Dynamics Simulation
Bioinformatics | Corona Virus | COVID-19 | Deep Learning | Drug Discovery | Health | Infectious Diseases | News | Paper Summary | Structural Biology | Trending
Hierarchical Structure-based Virtual Screening Targeting SARS-CoV-2 Endoribonuclease
BySrishti Sharma August 6, 2022October 22, 2026
Since the first appearance of SARS-CoV-2, a number of in silico methods have been employed to discover possible drugs that can target the viral life cycle. Scientists from National Research Centre, Egypt, targeted Endoribonuclease, which is one of the crucial non-structural proteins since it is responsible for processing viral RNA to escape detection by the…
Read More Hierarchical Structure-based Virtual Screening Targeting SARS-CoV-2 Endoribonuclease
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Scientists Devised a Bioinformatics Method ‘COJAC’ for Early Detection and Surveillance of SARS-CoV-2 Genomic Variants in Wastewater
ByTanveen Kaur July 21, 2022November 11, 2022
Using read pairs with several SARS-CoV-2 variant-specific signature mutations as a reliable signal of low-frequency variants, scientists develop the bioinformatics technique known as COJAC (Co-Occurrence adjusted Analysis and Calling). The genomic sequencing, in conjunction with COJAC, can offer population-level estimates of the prevalence and fitness of emerging variants from wastewater samples earlier and on the basis…
Read More Scientists Devised a Bioinformatics Method ‘COJAC’ for Early Detection and Surveillance of SARS-CoV-2 Genomic Variants in Wastewater
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Contact Perturbation Analysis of the SARS-CoV-2 Delta Variant Singular Interface Dynamics
ByTanveen Kaur July 16, 2022November 11, 2022
Scientists demonstrate that L452R and T478K mutations in the Delta variant interact synergistically with nearby residues to cause significant alterations in the spike/ACE2 interface, suggesting a single mode of action. Understanding the molecular distinctions of emerging SARS-CoV-2 variants is essential because they raise questions about the capacity to endure the Covid-19 pandemic. Using crystallographic structures…
Read More Contact Perturbation Analysis of the SARS-CoV-2 Delta Variant Singular Interface Dynamics
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The Pandemic Readiness Platform ‘IDentif.AI-x’ for Rapid Prioritization of Effective COVID-19 Combination Therapy Regimens
ByTanveen Kaur July 6, 2022November 9, 2022
Scientists from the National University of Singapore and DSO National Laboratories, Singapore develop IDentif.AI-x, a pandemic readiness platform powered by artificial intelligence for the rapid prioritization of COVID-19 optimized combination therapy regimens. By combining a prospective, experimental validation of multi-drug efficacy on a SARS-CoV-2 live virus and Vero E6 assay with a quadratic optimization workflow,…
Read More The Pandemic Readiness Platform ‘IDentif.AI-x’ for Rapid Prioritization of Effective COVID-19 Combination Therapy Regimens
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Drug Discovery | News | Structural Biology | Trending
Scientists Develop Hybrid Molecules by Drug Repurposing in an Effort to Design New Drugs to Treat Covid-19
ByDr. Tamanna Anwar May 26, 2022October 22, 2026
Controlling the spread of the highly contagious disease and protecting human health requires developing new medications that stay effective against growing COVID-19 variations. After spending more than two years studying SARS-CoV-2, the virus that causes COVID-19, the researchers at the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) are designing and testing small-molecule antivirals…
Read More Scientists Develop Hybrid Molecules by Drug Repurposing in an Effort to Design New Drugs to Treat Covid-19
Biomedical Engineering | Corona Virus | COVID-19 | Health | News | Trending
Researchers Introduce a Smartphone-Powered Microchip for Medical Diagnostic Testing at Home
ByDr. Tamanna Anwar May 20, 2022June 18, 2022
Researchers at the University of Minnesota developed a new microfluidic chip that can identify viruses, pathogens, bacteria, and other biomarkers in liquid samples. A research team from the University of Minnesota has developed a new microfluidic chip for disease diagnosis with few components and can be driven wirelessly by a smartphone. The breakthrough discovery opens…
Read More Researchers Introduce a Smartphone-Powered Microchip for Medical Diagnostic Testing at Home
Bioinformatics | Biotech | Corona Virus | COVID-19 | Covid-19 News | News | Trending
SARS-CoV-2 Delta Variant’s Unique Binding Leads to High Transmissibility
ByDr. Tamanna Anwar May 13, 2022June 18, 2022
The National Institutes of Health’s discovery could lead to new approaches to tackle future SARS-CoV-2 variants. According to a study by experts at the National Institutes of Health, unlike other SARS-CoV-2 variants, the Delta variant can bind to copies of itself, generating larger aggregations, or clumps, of virus particles. According to the researchers, this connecting…
Read More SARS-CoV-2 Delta Variant’s Unique Binding Leads to High Transmissibility
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Drug Discovery
Repurposing FDA Approved Asthma Drug to Block Crucial SARS-CoV-2 Protein
ByDr. Tamanna Anwar May 2, 2022October 22, 2026
In a new study by scientists from the Indian Institute of Science (IISc), repurposing a drug used to treat asthma and allergies has been shown to bind and block a critical protein produced by the virus SARS-CoV-2, reducing viral replication in human immune cells. The US Food and Drug Administration (FDA) approved drug, montelukast, has…
Read More Repurposing FDA Approved Asthma Drug to Block Crucial SARS-CoV-2 Protein
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Scientists Develop a Machine Learning Model to Predict the Evolution of an Epidemic Accurately
ByDr. Tamanna Anwar April 28, 2022June 18, 2022
Machine learning algorithms can provide precise forecasting of virus propagation during pandemics. This method eliminates human bias and assumptions, allowing for a more accurate prediction of pandemic evolution. Researchers from KAUST developed a dynamic machine learning model with an efficient forecasting approach that can predict confirmed and recovered COVID-19 times series data with high accuracy….
Read More Scientists Develop a Machine Learning Model to Predict the Evolution of an Epidemic Accurately
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Scientists Develop a Model to Show How Antibodies Move Like a Playing Child While Navigating Pathogen Surfaces
ByDr. Tamanna Anwar March 25, 2022June 18, 2022
A new study reveals how antibodies choose which antigens to bind to while navigating the surface of pathogens such as coronaviruses. Scientists from KTH Royal Institute of Technology and Karolinska Institutet have developed a model that implies pathogen hunters move like a child playing in a stream with stepping stones. The study displays antibody–antigen interactions…
Read More Scientists Develop a Model to Show How Antibodies Move Like a Playing Child While Navigating Pathogen Surfaces
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Scientists Developed a Hybrid Machine Learning/Deep Learning Based Covid-19 Severity Prediction Model to Support Clinical Decision Making
ByTanveen Kaur March 23, 2022November 9, 2022
Scientists from Fondazione Poliambulanza Istituto Ospedaliero, Italy, developed a hybrid machine learning/deep learning model to classify patients in two outcome categories, non-ICU, and ICU. With the likelihood score belonging to an outcome class and case-based SHAP interpretation of feature importance, the model intends to give clinical decision support to medical physicians. The scientists devised a…
Read More Scientists Developed a Hybrid Machine Learning/Deep Learning Based Covid-19 Severity Prediction Model to Support Clinical Decision Making
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Data Science | NGS | Trending
Computer Scientists from Rice University Develop a Program ‘Variabel’ to Find ‘Low-Frequency’ Variants in Sequence Data
ByDr. Tamanna Anwar March 15, 2022June 18, 2022
Variabel, a novel approach and first method designed for rescuing low frequency intra-host variants from Oxford Nanopore Technologies (ONT) data alone. Details about variants hidden in the deluge of genetic SARS-CoV-2 sequences might be helpful if researchers can find them. A new program developed at Rice University’s George R. Brown School of Engineering will make…
Read More Computer Scientists from Rice University Develop a Program ‘Variabel’ to Find ‘Low-Frequency’ Variants in Sequence Data
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | OMICS | Precision Medicine | Proteomics | RNA-Seq | Sequencing
Scientists from the University of Oxford Published Covid-19 Multi-omic Blood Atlas (COMBAT) that Identifies Illness Severity and Specificity Markers
ByDr. Tamanna Anwar March 8, 2022October 22, 2026
In an integrated comparison with influenza and sepsis patients against healthy volunteers, the researchers show a complete multi-omic blood atlas for patients with different COVID-19 severity. Immune signatures and host response correlations are identified. Research describing markers of COVID-19 disease severity has been published by a multi-disciplinary, cross-divisional collaborative team led by the University of…
Read More Scientists from the University of Oxford Published Covid-19 Multi-omic Blood Atlas (COMBAT) that Identifies Illness Severity and Specificity Markers
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Scientists from Princeton University Developed Artificial Intelligence Based Smartwatch App ‘CovidDeep’ for COVID-19 Detection
ByDr. Tamanna Anwar March 4, 2022June 18, 2022
New software built by Princeton University researchers may determine whether someone is infected with COVID-19 in minutes by combining questions about a person’s health with data from wristwatch sensors. The study led by Niraj Jha, a professor of electrical and computer engineering at Princeton University, resulted in this new diagnostic tool. His group is working…
Read More Scientists from Princeton University Developed Artificial Intelligence Based Smartwatch App ‘CovidDeep’ for COVID-19 Detection
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Drug Discovery | RNA-Seq | Sequencing | Trending
Targeted Enzymes Knock Down Viral RNA
ByDr. Tamanna Anwar March 3, 2022October 22, 2026
The team of researchers led by the Technical University of Munich (TUM) was able to destroy the genetic code of SARS-CoV-2 by using particular enzymes, shortly after the virus had invaded the cell. The data might be utilized to design a novel COVID-19 treatment. The building instructions for proteins and other compounds are found in…
Read More Targeted Enzymes Knock Down Viral RNA
Bioinformatics | Computational Models | Corona Virus | COVID-19 | Covid-19 News | Data Science | Machine Learning | Tools | Trending
Scientists from Yale University Developed a New Data Analysis Tool ‘Multiscale PHATE’ that Reveals Significant Covid-19 Clues
ByDr. Tamanna Anwar March 2, 2022June 18, 2022
Yale scientists report in the journal Nature Biotechnology this week that a novel data analysis technique they created has uncovered the particular immune cell types linked to an elevated risk of mortality from COVID-19. A variety of technologies provide high-throughput biological data by measuring dozens to tens of thousands of features in millions of cells…
Read More Scientists from Yale University Developed a New Data Analysis Tool ‘Multiscale PHATE’ that Reveals Significant Covid-19 Clues
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Machine Learning | Paper Summary | Trending
COVID-19 Phytochemical Drug Discovery with High-Resolution Computational Docking and Machine Learning Enabled Binder Prediction
BySwati Yadav February 11, 2022November 25, 2023
The researchers at Michigan State University in the United States used extensive structural datasets along with a refined and annotated collection of antiviral phytochemicals to determine which naturally derived medicines have the best chance of provoking strong binding interactions with SARS-CoV-2 proteins and thus preventing or disrupting the viral infection process. Millions of people have…
Read More COVID-19 Phytochemical Drug Discovery with High-Resolution Computational Docking and Machine Learning Enabled Binder Prediction
Bioinformatics | Corona Virus | Network Modeling | Structural Biology | Trending
Network Based Computer Modeling Revealed Omicron’s Mechanism of Escaping Antibodies
ByDr. Tamanna Anwar February 3, 2022June 18, 2022
According to a computational study carried out by researchers at MIT, several mutations in the virus’ spike protein enable it to dodge antibodies that target SARS-CoV-2. A new study published in the journal Cell Reports Medicine shows that the Omicron variant’s spike protein has dozens of mutations that let it elude all four types of…
Read More Network Based Computer Modeling Revealed Omicron’s Mechanism of Escaping Antibodies
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Artificial Intelligence Model Predicts in Seconds How Two Proteins Will Bind in Real-Time
ByDr. Tamanna Anwar February 2, 2022June 18, 2022
Researchers from MIT have developed a machine-learning model that can predict how two proteins bind, not in hours or minutes but just in a few seconds. Scientists may be able to use this machine-learning model to speed up the development of new drugs. Antibodies, which are small proteins generated by the immune system, can bind…
Read More Artificial Intelligence Model Predicts in Seconds How Two Proteins Will Bind in Real-Time
Bioinformatics | Cloud Computing | Corona Virus | Data Science | News | OMICS | RNA-Seq | Sequencing | Virus
Cloud Computing Helps Researchers Identify Over 100,000 RNA Viruses Including Nine New Coronavirus Species
ByDr. Tamanna Anwar January 30, 2022September 8, 2022
A team of scientists led by a former University of British Columbia (UBC) postdoctoral researcher in medical genetics discovered over ten times the number of RNA viruses previously thought to exist, including many novel coronavirus species. By re-analyzing all publicly accessible RNA sequencing data, the researchers were able to make the finding. They established a…
Read More Cloud Computing Helps Researchers Identify Over 100,000 RNA Viruses Including Nine New Coronavirus Species
Biotech | Corona Virus | Trending
Antibodies that can block Omicron variant of Covid-19 identified
ByDr. Tamanna Anwar January 2, 2022October 22, 2026
Antibodies have been found that neutralize Omicron and other coronavirus strains by targeting areas that stay largely unchanged as the virus mutates have been discovered. The findings, published in the journal Nature, might aid in the development of vaccines and antibody therapies that are effective not only against Omicron but also against additional variants that…
Read More Antibodies that can block Omicron variant of Covid-19 identified
Bioinformatics | Corona Virus | Featured | Trending
SARS-CoV-2 Mechanism of Evading Immune System Revealed
ByDr. Tamanna Anwar December 30, 2021October 22, 2026
The mechanism used by SARS-CoV-2 to escape the host immune system has been revealed by scientists from Hokkaido University, Japan and Texas A&M University, US. According to researchers from Japan and the United States, an important biochemical pathway connected to an immune complex termed MHC class I is knocked out by SARS-CoV-2 in order to…
Read More SARS-CoV-2 Mechanism of Evading Immune System Revealed

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Corona Virus

Repurposing FDA Approved Asthma Drug to Block Crucial SARS-CoV-2 Protein

Scientists from the University of Oxford Published Covid-19 Multi-omic Blood Atlas (COMBAT) that Identifies Illness Severity and Specificity Markers

Cloud Computing Helps Researchers Identify Over 100,000 RNA Viruses Including Nine New Coronavirus Species

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