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Circ RNA Based Classification of SARS CoV-2, SARS CoV-1 and MERS-CoV Using Machine Learning
The SARS-CoV-2 virus has demonstrated its ability to adapt and spread in various environments, making it a challenging target for identification and...
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Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning
This paper presents a federated learning (FL) approach to train an AI model for SARS-Cov-2 variant classification. We analyze the SARS-CoV-2 spike...
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Phase analysis simulating the Takeda method to obtain a 3D profile of SARS-CoV-2 cells
In this work, we propose a morphologic analysis by means of the construction of 3D models of the SARS-CoV-2 VP (viral particles) with algorithms in...
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Computational tools and databases at the forefront to study geographic and genomic distribution of SARS-CoV-2 variants
In human history, crippling viral pandemics have occurred many times and recently Coronavirus-19 (COVID-19) disease caused by novel severe acute...
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Transformational Leadership in Universities During the Pandemic by SARS-CoV-2
Currently, education presents important challenges due to the Pandemic we are going through due to SARS-COV-2, which has generated uncertainty in all...
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Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis
Examining the genome sequences of the SARS-CoV-2 virus, that causes the respiratory disease known as coronavirus disease 2019 (COVID-19), play...
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Biological Sequence Analysis Using Complex Networks and Entropy Maximization: A Case Study in SARS-CoV-2
During the COVID-19 pandemic, several genetic mutations occurred in the SARS-CoV-2 virus, making more infectious or transmissible. The World Health...
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Drug repurposing for the treatment of patients infected with SARS-CoV-2
This paper presents a systematic analysis of the possibility of repurposing commercial drugs through Molecular Docking and Quantitative Structure and...
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CT imaging and lung segmentation analysis of SARS-CoV-2 variants and vaccination impacts on lung impairment quantification
This study analyzed Chest CT exams from 592 patients with SARS-CoV-2 between 2020 and 2022 using the open-source 3D Slicer software. We conducted...
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SARS-CoV-2 Diagnosis Using Transcriptome Data: A Machine Learning Approach
SARS-CoV-2 pandemic is the big issue of the whole world right now. The health community is struggling to rescue the public and countries from this...
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Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data
The massive amount of genomic data appearing over the past two years for SARS-CoV-2 has challenged traditional methods for studying the dynamics of...
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SARS-CoV-2 transmission in university classes
We investigate transmission dynamics for SARS-CoV-2 on a real network of classes at Simon Fraser University. Outbreaks are simulated over the course...
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Changes in Patterns of Infectivity and Mortality with SARS-CoV-2 Omicron Variant in Bulgaria
We use our previously developed models (branching processes and time series analysis) to track the changes in the spread of the new SARS-COV-2...
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Verifying a Stochastic Model for the Spread of a SARS-CoV-2-Like Infection: Opportunities and Limitations
There is a growing interest in modeling and analyzing the spread of diseases like the SARS-CoV-2 infection using stochastic models. These models are...
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Deep learning application detecting SARS-CoV-2 key enzymes inhibitors
The fast spread of the COVID-19 over the world pressured scientists to find its cures. Especially, with the disastrous results, it engendered from...
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Generative Autoencoders for Designing Novel Small-Molecule Compounds as Potential SARS-CoV-2 Main Protease Inhibitors
Two generative autoencoder models for designing novel drug-like compounds able to block the catalytic site of the SARS-CoV-2 main protease (MPro)...
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Application of Continuous Embedding of Viral Genome Sequences and Machine Learning in the Prediction of SARS-CoV-2 Variants
Since the beginning of the novel coronavirus pandemic, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has spread to 224 countries with...
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Molecule generation toward target protein (SARS-CoV-2) using reinforcement learning-based graph neural network via knowledge graph
AI-driven approaches are widely used in drug discovery, where candidate molecules are generated and tested on a target protein for binding affinity...
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Structural analysis of SARS-CoV-2 Spike protein variants through graph embedding
Since December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected almost all countries. The unprecedented spreading of...
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Clustering Based Identification of SARS-CoV-2 Subtypes
With the availability of more than half a million SARS-CoV-2 sequences and counting, many approaches have recently appeared which aim to leverage...