Search Results

• Constructing reliable models during the initial stages of a pandemic is challenging and often necessitates huge amounts of data, arriving too late to avoid severe repercussions.
• We developed a Conditional Tabular Generative Adversarial ...

We generated synthetic data starting from a population of two hundred thirty-eight adults SARS-CoV-2 positive patients admitted to the University Hospital of Brussels, Belgium, in 2020, utilizing a Conditional Tabular Generative ...

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Although the end of COVID-19 as a public health emergency was declared on May 2023, still new cases of the infection are reported and the risk remains of new variants emerging that may cause new surges in cases and deaths. While clinical ...

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• SARS-CoV-2, COVID-19, blood, transcriptome, RNA-seq, alternative splicing, circRNA, lncRNA, single nucleotide variation.

Genetic recombination is a key mechanism of viral evolution in coronaviruses. In the case of SARS-CoV-2, the Spike protein (S) is a crucial genomic region where multiple recombination events have occurred. Previous research identified mathematical ...

The SARS-CoV-2 viruses and their triggered COVID-19 pandemic have fundamentally reshaped the world in almost every aspect, their evolution and influences remain. While over a million of literature have been produced on these unprecedented, overwhelming ...

This study aims to investigate non-covalent and non-peptide inhibitors of M^pro, a crucial protein target, by employing a comprehensive approach that integrates molecular docking, molecular dynamics simulations, and top-hits activity ...

• Integrated molecular screening, ADME, and dynamics to assess non-covalent and non-peptide binding to SARS-CoV-2 main protease.
• Identified one system to provide inhibitors in silico via docking, molecualr dynamic simulation, and ...

In the global fight against the COVID-19 pandemic caused by the highly transmissible SARS-CoV-2 virus, the search for potent medications is paramount. With a focused investigation on the SARS-CoV-2 papain-like protease (PL^pro) as a promising ...

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• Targeting the SARS-CoV-2 PLpro could be key for COVID-19 treatment due to its crucial role in viral replication and immune response modulation.
• The PLpro catalytic site, particularly Cys111, is a promising target for covalent bonding, ...

• Investigate the time series of viral loads in the nasal cavity and nasopharynx of humans and rhesus macaques.
• Calibrate HCD model parameters via SARS-CoV-2 experimental data to simulate and visualize changes in viral load and cell ...

Viral respiratory infections stand as a considerable global health concern, presenting significant risks to the health of both humans and animals. This study aims to conduct a preliminary analysis of the time series of ...

The emergence of the coronavirus disease 2019 (COVID-19) pandemic has caused great fear and panic around the world. In order to fight the COVID-19 virus, countries have had to develop some vaccines and drugs. Unfortunately, the effectiveness of ...

Modeling heterogeneous disease states by data-driven methods has great potential to advance biomedical research. However, a comprehensive analysis of phenotypic heterogeneity is often challenged by the complex nature of biomedical ...

• We propose a novel GAN Inversion-enabled Latent Eigenvalue Analysis (GILEA) method.
• We identify the efficacy of Remdesivir from the large-scale SARS-CoV-2 drug dataset.
• This study has opened an unprecedented path toward in silico ...

Since the beginning of the COVID-19 pandemic, the World Health Organization (WHO) has been tracking SARS-CoV-2 mutations. The SARS-CoV-2 consistently mutated throughout the pandemic, which resulted in many variants. A variant is a viral genome ...

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), that caused coronavirus disease 2019 (COVID-19), has been studied thoroughly, and several variants are revealed across the world with their corresponding mutations. Studies and ...

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• The Analysis of Electrostatic Similarities of Proteins (AESOP) framework is applied.
• Predict critical charged amino acids that affect SARS-CoV-2: Antibody binding.
• AESOP framework calculates free energy calculations based on APBS ...

Structure-based virtual screening of a molecular library of bioactive compounds was carried out to identify potential inhibitors against SARS-CoV-2 main protease (M^pro), an enzyme critically important for mediating viral replication and ...

We present experimental data and modelling results investigating the effects of plasma-assisted air cleaning systems on reducing transmission of SARS-CoV-2 virus among pupils in a primary school in Amsterdam, the Netherlands. We equipped 4 ...

Post COVID-19 Condition (PCC), characterized by lingering symptoms post-acute COVID-19, poses clinical challenges, highlighting the need to understand its underlying molecular mechanisms. This meta-analysis aims to shed light on the ...

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• PCC patients present immune dysregulation and altered histone expression.
• Hesperitin and antioxidant compounds are potential therapeutic strategies for PCC.
• Ribosomal protein expression patterns are sex-specific in PCC subjects.

• Tiny textural based model attains 99.71% overall 6-class classification accuracy.
• Textural model has 99.85% accuracy for binary classification of SARS-CoV-2 vs. HIV-1.
• Text-based motif pattern utilizes to create a new feature ...

RNA viruses, including severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), are important human pathogens. Sequencing of the proteins produced by RNA viruses is essential for understanding disease pathogenesis and may have ...

Rapid discovery of target information for protein-protein interactions (PPIs) is significant in drug design, diagnostics, vaccine development, antibody therapy, etc. Peptide microarray is an ideal tool for revealing epitope information of PPIs. ...

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• Developed a computational peptide scanning method.
• Molecular dynamics improve agreement between affinity calculations and experiments.
• Peptide YNYLYRLFRKSNLKP is crucial for RBD-ACE2 interaction.

SARS-CoV-2 is an enveloped RNA virus that causes severe respiratory illness in humans and animals. It infects cells by binding the Spike protein to the host’s angiotensin-converting enzyme 2 (ACE2). The bat is considered the natural host of the ...

• This work assists in planning strategies and control of SARS-CoV-2.
• Human, animal, and environmental health is vital to prevent future virus outbreaks.
• ACE2 expression and the proximity of mammals to humans favor the vírus’ ...

In this study, we demonstrated that SARS-CoV-2 emerging variants can be detected or predicted by examining the community structure of viral coordinated substitution networks. These variants can be linked to dense network communities, which become ...

Viruses are highly dependent on their hosts to carry out cellular mechanisms and cause productive infection. Thus, they undergo extensive adaptations to the host intracellular machinery, which occur over the evolution of the virus, and during the ...

A comprehensive and reproducible search strategy for systematic reviews especially about COVID-19 plays a pivotal role in conducting a reliable and unbiased review. The primary aim of this study was to investigate the quality of the search strategy ...