scispace - formally typeset
Open AccessJournal ArticleDOI

The proximal origin of SARS-CoV-2.

Reads0
Chats0
TLDR
It is shown that SARS-CoV-2 is not a laboratory construct or a purposefully manipulated virus, and scenarios by which they could have arisen are discussed.
Abstract
SARS-CoV-2 is the seventh coronavirus known to infect humans; SARSCoV, MERS-CoV and SARS-CoV-2 can cause severe disease, whereas HKU1, NL63, OC43 and 229E are associated with mild symptoms6. Here we review what can be deduced about the origin of SARS-CoV-2 from comparative analysis of genomic data. We offer a perspective on the notable features of the SARS-CoV-2 genome and discuss scenarios by which they could have arisen. Our analyses clearly show that SARS-CoV-2 is not a laboratory construct or a purposefully manipulated virus.

read more

Content maybe subject to copyright    Report

Citations
More filters
Posted ContentDOI

Atlas of ACE2 gene expression in mammals reveals novel insights in transmisson of SARS-Cov-2

Kun Sun, +3 more
- 31 Mar 2020 - 
TL;DR: Through building the first atlas of ACE2 expression in pets and livestock, this work identified species and tissues susceptible to SARS-CoV-2 infection, yielding novel insights into the viral transmission.
Posted ContentDOI

Modeling the COVID-19 outbreaks and the effectiveness of the containment measures adopted across countries

TL;DR: It is argued that the idea of "flattening the curve" to reach herd immunity is likely to be unfeasible, and that a progressive strengthening of these measures usually reduces the R_0 below 1, granting a decay of the outbreak.
Journal ArticleDOI

Distinctive Roles of Furin and TMPRSS2 in SARS-CoV-2 Infectivity

TL;DR: It is suggested that the combination of a nontoxic furin inhibitor with a TMPRSS2 inhibitor significantly reduces viral entry in lung cells, as evidenced by an average synergistic ∼95% reduction of viral infection.
Journal ArticleDOI

Prediction modelling of COVID using machine learning methods from B-cell dataset.

TL;DR: In this article, the authors used various machine learning models, such as SVM, Naive Bayes, K-nearest neighbors, AdaBoost, Gradient boosting, XGBoost, Random Forest, ensembles, and neural networks, to predict SARS-CoV and SARS CoV-2.
References
More filters
Journal ArticleDOI

A pneumonia outbreak associated with a new coronavirus of probable bat origin

TL;DR: Identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China, and it is shown that this virus belongs to the species of SARSr-CoV, indicates that the virus is related to a bat coronav virus.
Journal ArticleDOI

A new coronavirus associated with human respiratory disease in China.

TL;DR: Phylogenetic and metagenomic analyses of the complete viral genome of a new coronavirus from the family Coronaviridae reveal that the virus is closely related to a group of SARS-like coronaviruses found in bats in China.
Journal ArticleDOI

An interactive web-based dashboard to track COVID-19 in real time.

TL;DR: The outbreak of the 2019 novel coronavirus disease (COVID-19) has induced a considerable degree of fear, emotional stress and anxiety among individuals around the world.
Journal ArticleDOI

Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation.

TL;DR: The authors show that this protein binds at least 10 times more tightly than the corresponding spike protein of severe acute respiratory syndrome (SARS)–CoV to their common host cell receptor, and test several published SARS-CoV RBD-specific monoclonal antibodies found that they do not have appreciable binding to 2019-nCoV S, suggesting that antibody cross-reactivity may be limited between the two RBDs.
Related Papers (5)