• Corpus ID: 232233363

Vaccine-escape and fast-growing mutations in the United Kingdom, the United States, Singapore, Spain, South Africa, and other COVID-19-devastated countries

  title={Vaccine-escape and fast-growing mutations in the United Kingdom, the United States, Singapore, Spain, South Africa, and other COVID-19-devastated countries},
  author={Rui Wang and Jiahui Chen and Kaifu Gao and Guowei Wei},
Recently, the SARS-CoV-2 variants from the United Kingdom (UK), South Africa, and Brazil have received much attention for their increased infectivity, potentially high virulence, and possible threats to existing vaccines and antibody therapies. The question remains if there are other more infectious variants transmitted around the world. We carry out a large-scale study of 252,874 SARS-CoV-2 genome isolates from patients to identify many other rapidly growing mutations on the spike (S) protein… 

Revealing the Threat of Emerging SARS-CoV-2 Mutations to Antibody Therapies

Success of nano-vaccines against COVID-19: a transformation in nanomedicine

The mRNA-based vaccines, with their tremendous efficacy of ~95% (under phase III-IV clinical trials) and distinct nanocarriers (LNPs), represent a new medical front alongside DNA and siRNA- based vaccines.

Nanoparticles in clinical trials of COVID-19: An update

In silico analysis of SARS-CoV-2 spike protein N501Y and N501T mutation effects on human ACE2 binding

Omicron BA.2 (B.1.1.529.2): high potential to becoming the next dominating variant

A novel algebraic topology-based deep learning model trained with tens of thousands of mutational and deep mutational data is constructed to systematically evaluate Omicron BA.3’s infectivity, vaccine breakthrough capability, and antibody resistance.

Analyses of Confirmed COVID-19 Cases Among Korean Military Personnel After Mass Vaccination

After completing mass vaccination, the incidence rates of COVID-19 infection in the military were lower than those in the national population, suggesting that herd immunity has been achieved in these military units.

Deep Reinforcement Learning-based Vaccine Distribution Strategies

An End-to-End vaccine distribution model is proposed by combining the Deep Reinforcement Learning model and LinUCB algorithm to get an optimistic strategy of allocation and demonstrated that vaccine distribution strategies based on this model show a strong capacity to control the epidemic and ensure stable government revenue compared with baseline strategies.



A topology-based network tree for the prediction of protein–protein binding affinity changes following mutation

Tests indicate that the proposed topology-based network tree is an important improvement over the current state of the art in predicting ΔΔ G, and proposes a new deep learning algorithm called NetTree to take advantage of convolutional neural networks and gradient-boosting trees to improve predictions of protein–protein interactions.

Mutations Strengthened SARS-CoV-2 Infectivity

PROXiMATE: a database of mutant protein-protein complex thermodynamics and kinetics

Summary We have developed PROXiMATE, a database of thermodynamic data for more than 6000 missense mutations in 174 heterodimeric protein-protein complexes, supplemented with interaction network data

AB‐Bind: Antibody binding mutational database for computational affinity predictions

A diverse set of antibody binding data with accompanying structures that can be used to evaluate methods for modeling antibody interactions is reported, demonstrating the continuing need to develop and improve protein energy functions for affinity prediction.

Topological Persistence and Simplification

Fast algorithms for computing persistence and experimental evidence for their speed and utility are given for topological simplification within the framework of a filtration, which is the history of a growing complex.

Mechanisms of viral mutation

This work has shown that viral genetic diversity is determined by multiple virus- and host-dependent processes, and that viral mutation rates can evolve in response to specific selective pressures.

Genomic characterisation of an emergent SARS- CoV-2 lineage in Manaus: preliminary findings

Nuno R. Faria, Ingra Morales Claro, Darlan Candido, Lucas A. Carvalho, Andrew Rambaut, Nick Loman, Oliver G. Pybus, Ester C. Sabino, on behalf of CADDE Genomic Network.

Emergence of SARS-CoV-2 B.1.1.7 Lineage at Outpatient Testing Site, Berlin, Germany, January–March 2021

Compared with outpatients with wild-type virus infection, patients with B.1.

Detection of B.1.351 SARS-CoV-2 Variant Strain — Zambia, December 2020

The first laboratory-confirmed cases of coronavirus disease 2019 (COVID-19), the illness caused by SARS-CoV-2, in Zambia were detected in March 2020 (1). Beginning in July, the number of confirmed

Emergence of SARS-CoV-2 B.1.1.7 Lineage — United States, December 29, 2020–January 12, 2021

Collectively, enhanced genomic surveillance combined with continued compliance with effective public health measures, including vaccination, physical distancing, use of masks, hand hygiene, and isolation and quarantine, will be essential to limiting the spread of SARS-CoV-2.