Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtypes within the coronaviridae family.

PURPOSE: In this study, we present DeepVirusClassifier, a tool capable of accurately classifying Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) viral sequences among other subtypes of the coronaviridae family. This classification is achieved through a deep neural network model that relies on convolutional neural networks (CNNs). Since viruses within the same family share similar genetic and structural characteristics, the classification process becomes more challenging, necessitating more robust models. With the rapid evolution of viral genomes and the increasing need for timely classification, we aimed to provide a robust and efficient tool that could increase the accuracy of viral identification and classification processes. Contribute to advancing research in viral genomics and assist in surveilling emerging viral strains. METHODS: Based on a one-dimensional deep CNN, the proposed tool is capable of training and testing on the Coronaviridae family, including SARS-CoV-2. Our model's performance was assessed using various metrics, including F1-score and AUROC. Additionally, artificial mutation tests were conducted to evaluate the model's generalization ability across sequence variations. We also used the BLAST algorithm and conducted comprehensive processing time analyses for comparison. RESULTS: DeepVirusClassifier demonstrated exceptional performance across several evaluation metrics in the training and testing phases. Indicating its robust learning capacity. Notably, during testing on more than 10,000 viral sequences, the model exhibited a more than 99% sensitivity for sequences with fewer than 2000 mutations. The tool achieves superior accuracy and significantly reduced processing times compared to the Basic Local Alignment Search Tool algorithm. Furthermore, the results appear more reliable than the work discussed in the text, indicating that the tool has great potential to revolutionize viral genomic research. CONCLUSION: DeepVirusClassifier is a powerful tool for accurately classifying viral sequences, specifically focusing on SARS-CoV-2 and other subtypes within the Coronaviridae family. The superiority of our model becomes evident through rigorous evaluation and comparison with existing methods. Introducing artificial mutations into the sequences demonstrates the tool's ability to identify variations and significantly contributes to viral classification and genomic research. As viral surveillance becomes increasingly critical, our model holds promise in aiding rapid and accurate identification of emerging viral strains.

Prevalence and factors associated with depression in healthcare personnel during the SARS-CoV-2 pandemic in the Department of Piura, Peru.

INTRODUCTION: The COVID-19 pandemic has increased the magnitude of mental illnesses such as depression, not only in the general population, but also in healthcare personnel. However, in Peru the prevalence, and the associated factors for developing depression in healthcare personnel, are not known. The objective was to determine the prevalence and identify the factors associated with depression in healthcare personnel, in the context of the SARS-CoV-2 pandemic. METHODS: An analytical cross-sectional study was carried out from May to September in healthcare establishments. A sample of 136 health workers were included and a survey was applied to collect the data. Depression as a dependent variable was measured using the Zung self-report scale. To identify the associated factors, the bivariate and multivariate analysis was performed by logistic regression with STATA v 14. RESULTS: The prevalence of depression was 8.8% (95%CI, 4.64-14.90). Having a family member or friend who had died from COVID-19 was associated with depression (OR = 6.78; 95%CI, 1.39-32.90; p = 0.017). Whereas the use of personal protective equipment was found to be a protective factor against developing depression (OR = 0.03; 95%CI, 0.004-0.32; p = 0.003). CONCLUSIONS: Approximately 1 in 10 healthcare professionals and technicians developed depression during the COVID-19 pandemic in this study. In addition, having relatives or friends who had died from COVID-19 was negatively associated with depression and use of personal protective equipment was identified as a protective factor.

SARS-CoV-2 helicase might interfere with cellular nonsense-mediated RNA decay: insights from a bioinformatics study.

BACKGROUND: Viruses employ diverse strategies to interfere with host defense mechanisms, including the production of proteins that mimic or resemble host proteins. This study aimed to analyze the similarities between SARS-CoV-2 and human proteins, investigate their impact on virus-host interactions, and elucidate underlying mechanisms. RESULTS: Comparing the proteins of SARS-CoV-2 with human and mammalian proteins revealed sequence and structural similarities between viral helicase with human UPF1. The latter is a protein that is involved in nonsense-mediated RNA decay (NMD), an mRNA surveillance pathway which also acts as a cellular defense mechanism against viruses. Protein sequence similarities were also observed between viral nsp3 and human Poly ADP-ribose polymerase (PARP) family of proteins. Gene set enrichment analysis on transcriptomic data derived from SARS-CoV-2 positive samples illustrated the enrichment of genes belonging to the NMD pathway compared with control samples. Moreover, comparing transcriptomic data from SARS-CoV-2-infected samples with transcriptomic data derived from UPF1 knockdown cells demonstrated a significant overlap between datasets. CONCLUSIONS: These findings suggest that helicase/UPF1 sequence and structural similarity might have the ability to interfere with the NMD pathway with pathogenic and immunological implications.

ICTV Virus Taxonomy Profile: Coronaviridae 2023.

The family Coronaviridae includes viruses with positive-sense RNA genomes of 22-36 kb that are expressed through a nested set of 3' co-terminal subgenomic mRNAs. Members of the subfamily Orthocoronavirinae are characterized by 80-160 nm diameter, enveloped virions with spike projections. The orthocoronaviruses, severe acute respiratory syndrome coronavirus and Middle East respiratory syndrome-related coronavirus are extremely pathogenic for humans and in the last two decades have been responsible for the SARS and MERS epidemics. Another orthocoronavirus, severe acute respiratory syndrome coronavirus 2, was responsible for the recent global COVID-19 pandemic. This is a summary of the International Committee on Taxonomy of Viruses (ICTV) Report on the family Coronaviridae which is available at www.ictv.global/report/coronaviridae.

PREHOST: Host prediction of coronaviridae family using machine learning.

Coronavirus, a zoonotic virus capable of transmitting infections from animals to humans, emerged as a pandemic recently. In such circumstances, it is essential to understand the virus's origin. In this study, we present a novel machine-learning pipeline PreHost for host prediction of the family, Coronaviridae. We leverage the complete viral genome and sequences at the protein level (spike protein, membrane protein, and nucleocapsid protein). Compared with the current state-of-the-art approaches, the random forest model attained high accuracy and recall scores of 99.91% and 0.98, respectively, for genome sequences. In addition to the spike protein sequences, our study shows membrane and nucleocapsid protein sequences can be utilized to predict the host of viruses. We also identified important sites in the viral sequences that help distinguish between different host classes. The host prediction pipeline PreHost will cater as a valuable tool to take effective measures to govern the transmission of future viruses.

The putative metal-binding proteome of the Coronaviridae family.

Metalloproteins are well-known for playing various physicochemical processes in all life forms, including viruses. Some life-threatening viruses (such as some members of the Coronaviridae family of viruses) are emerged and remerged frequently and are rapidly transmitted throughout the globe. This study aims to identify and characterize the metal-binding proteins (MBPs) of the Coronaviridae family of viruses and further provides insight into the MBP's role in sustaining and propagating viruses inside a host cell and in the outer environment. In this study, the available proteome of the Coronaviridae family was exploited. Identified potential MBPs were analyzed for their functional domains, structural aspects, and subcellular localization. We also demonstrate phylogenetic aspects of all predicted MBPs among other Coronaviridae family members to understand the evolutionary trend among their respective hosts. A total of 256 proteins from 51 different species of coronaviruses are predicted as MBPs. These MBPs perform various key roles in the replication and survival of viruses within the host cell. Cysteine, aspartic acid, threonine, and glutamine are key amino acid residues interacting with respective metal ions. Our observations also indicate that the metalloproteins of this family of viruses circulated and evolved in different hosts, which supports the zoonotic nature of coronaviruses. The comprehensive information on MBPs of the Coronaviridae family may be further helpful in designing novel therapeutic metalloprotein targets. Moreover, the study of viral MBPs can also help to understand the roles of MBPs in virus pathogenesis and virus-host interactions.

No molecular evidence for influenza A virus and coronavirus in bats belonging to the families Phyllostomidae, Vespertilionidae, and Molossidae in the state of São Paulo, Brazil.

This study aimed to evaluate, by molecular methods, the presence of influenza A virus (IAV) and coronavirus in non-hematophagous bats collected in the state of São Paulo, Brazil. Samples of lung tissue and small intestine from 105 bats belonging to three families (Phyllostomidae, Vespertilionidae, and Molossidae) were collected in 22 municipalities in the state of São Paulo. Genetic identification of bats species was performed by amplification and sequencing of a fragment of 710 bp of the mitochondrial COI gene. In the detection of IAV, genomes were performed by RT-PCR, aiming at the amplification of a 245-bp fragment of the IAV matrix (M) protein gene. For coronaviruses, two fragments of 602 and 440 bp corresponding to segments along the gene encoding the RNA-dependent RNA polymerase (RdRp) were targeted. The detection limit for each of the PCRs was also determined. All samples analyzed here were negative for both viruses, and the lower limit of detection of the PCRs for the amplification of influenza virus A and coronavirus was estimated at 3.5 × 103 and 4.59 genomic copies per microliter, respectively. Although bats have been shown to harbor a large number of pathogens, the results of the present study support the theory that virus circulation in bats in the wild often occurs at low viral loads and that our understanding of the complex infectious dynamics of these viruses in wild conditions is still limited.

Membrane architects: how positive-strand RNA viruses restructure the cell.

Virus infection is a process that requires combined contributions from both virus and host factors. For this process to be efficient within the crowded host environment, viruses have evolved ways to manipulate and reorganize host structures to produce cellular microenvironments. Positive-strand RNA virus replication and assembly occurs in association with cytoplasmic membranes, causing a reorganization of these membranes to create microenvironments that support viral processes. Similarities between virus-induced membrane domains and cellular organelles have led to the description of these structures as virus replication organelles (vRO). Electron microscopy analysis of vROs in positive-strand RNA virus infected cells has revealed surprising morphological similarities between genetically diverse virus species. For all positive-strand RNA viruses, vROs can be categorized into two groups: those that make invaginations into the cellular membranes (In-vRO), and those that cause the production of protrusions from cellular membranes (Pr-vRO), most often in the form of double membrane vesicles (DMVs). In this review, we will discuss the current knowledge on the structure and biogenesis of these two different vRO classes as well as comparing morphology and function of vROs between various positive-strand RNA viruses. Finally, we will discuss recent studies describing pharmaceutical intervention in vRO formation as an avenue to control virus infection.

Monoclonal antibodies: a remedial approach to prevent SARS-CoV-2 infection.

SARS-CoV-2, the newly emerged virus of the Coronaviridae family is causing havoc worldwide. The novel coronavirus 2019 was first reported in Wuhan, China marked as the third highly infectious pathogenic virus of the twenty-first century. The typical manifestations of COVID-19 include cough, sore throat, fever, fatigue, loss of sense of taste and difficulties in breathing. Large numbers of SARS-CoV-2 infected patients have mild to moderate symptoms, however severe and life-threatening cases occur in about 5-10% of infections with an approximately 2% mortality rate. For the treatment of SARS-CoV-2, the use of neutralizing monoclonal antibodies (mAbs) could be one approach. The receptor binding domain (RBD) and N-terminal domain (NTD) situated on the peak of the spike protein (S-Protein) of SARS-CoV-2 are immunogenic in nature, therefore, can be targeted by neutralizing monoclonal antibodies. Several bioinformatics approaches highlight the identification of novel SARS-CoV-2 epitopes which can be targeted for the development of COVID-19 therapeutics. Here we present a summary of neutralizing mAbs isolated from COVID-19 infected patients which are anticipated to be a better therapeutic alternative against SARS-CoV-2. However, provided the vast escalation of the disease worldwide affecting people from all strata, affording expensive mAb therapy will not be feasible. Hence other strategies are also being employed to find suitable vaccine candidates and antivirals against SARS-CoV-2 that can be made easily available to the population.

Predictive Models of within- and between-Species SARS-CoV-2 Transmissibility.

Viruses from the Coronaviridae family have been reported to infect a large range of hosts, including humans. The latest human-infecting coronavirus, SARS-CoV-2, turned into a pandemic and subtypes with different transmissibility have appeared since then. The SARS-CoV-2 Spike (S) protein interacts with the angiotensin-converting enzyme 2 (ACE2) host receptor, and thus, in silico models, based on the structural features of the SARS-CoV-2 S protein-ACE2 receptor complex, as well as ACE2 amino acid patterns, may be used to predict the within- and between-species transmissibility of SARS-CoV-2 subtypes. Here, it is shown that at the beginning of the pandemic, the SARS-CoV-2 S protein was, as expected for a virus that just jumped the species barrier, ill-adapted to the human ACE2 receptor, and that the replacement of one SARS-CoV-2 variant by another is partially due to a better fitting of the S protein-human ACE2 complex. Moreover, it is shown that mutations that are predicted to lead to a better fit have increased in the population due to positive selection. It is also shown that the number of ACE2-interfacing residues is positively correlated with the transmissibility rate of SARS-CoV-2 variants. Finally, it is shown that the number of species that are susceptible to infection by SARS-CoV-2, and that could be a reservoir for this virus, is likely higher than previously thought.

Recombination in Coronaviruses, with a Focus on SARS-CoV-2.

Recombination is a common evolutionary tool for RNA viruses, and coronaviruses are no exception. We review here the evidence for recombination in SARS-CoV-2 and reconcile nomenclature for recombinants, discuss their origin and fitness, and speculate how recombinants could make a difference in the future of the COVID-19 pandemics.

Identification of potent inhibitors of arenavirus and SARS-CoV-2 exoribonucleases by fluorescence polarization assay.

Viral exoribonucleases are uncommon in the world of RNA viruses. To date, they have only been identified in the Arenaviridae and the Coronaviridae families. The exoribonucleases of these viruses play a crucial role in the pathogenicity and interplay with host innate immune response. Moreover, coronaviruses exoribonuclease is also involved in a proofreading mechanism ensuring the genetic stability of the viral genome. Because of their key roles in virus life cycle, they constitute attractive target for drug design. Here we developed a sensitive, robust and reliable fluorescence polarization assay to measure the exoribonuclease activity and its inhibition in vitro. The effectiveness of the method was validated on three different viral exoribonucleases, including SARS-CoV-2, Lymphocytic Choriomeningitis and Machupo viruses. We performed a screening of a focused library consisting of 113 metal chelators. Hit compounds were recovered with an IC50 at micromolar level. We confirmed 3 hits in SARS-CoV-2 infected Vero-E6 cells.

The emerging roles of retromer and sorting nexins in the life cycle of viruses.

Retromer and sorting nexins (SNXs) transport cargoes from endosomes to the trans-Golgi network or plasma membrane. Recent studies have unveiled the emerging roles for retromer and SNXs in the life cycle of viruses, including members of Coronaviridae, Flaviviridae and Retroviridae. Key components of retromer/SNXs, such as Vps35, Vps26, SNX5 and SNX27, can affect multiple steps of the viral life cycle, including facilitating the entry of viruses into cells, participating in viral replication, and promoting the assembly of virions. Here we present a comprehensive updated review on the interplay between retromer/SNXs and virus, which will shed mechanistic insights into controlling virus infection.

Effect of herbal compounds on coronavirus; a systematic review and meta-analysis.

BACKGROUND: The new coronavirus (COVID-19) has been transmitted exponentially. Numerous studies have been performed in recent years that have shown the inhibitory effect of plant extracts or plant-derived compounds on the coronavirus family. In this study, we want to use systematic review and meta-analysis to answer the question, which herbal compound has been more effective? MAIN BODY: The present study is based on the guidelines for conducting meta-analyzes. An extensive search was conducted in the electronic database, and based on the inclusion and exclusion criteria, articles were selected and data screening was done. Quality control of articles was performed. Data analysis was carried out in STATA software. CONCLUSION: Due to the variety of study methods, definitive conclusions are not possible. However, in this study, we attempted to gather all the available evidence on the effect of plant compounds on SARS-COV-2 to be used for the development and use of promising antiviral agents against this virus and other coronaviruses. Trypthantrin, Sambucus extract, S. cusia extract, Boceprevir and Indigole B, dioica agglutinin urtica had a good effect on reducing the virus titer. Also among the compounds that had the greatest effect on virus inhibition, Saikosaponins B2, SaikosaponinsD, SaikosaponinsA and Phillyrin, had an acceptable selectivity index greater than 10. Andrographolide showed the highest selectivity index on SARS-COV-2. Our study confirmed insufficient data to support alkaloid compounds against SARS-COV-2, and the small number of studies that used alkaloid compounds was a limitation. It is recommended to investigate the effect of more alkaloid compounds against Corona virus.

A pyrosequencing protocol for rapid identification of SARS-CoV-2 variants.

Next-generation sequencing (NGS) is the primary method used to monitor the distribution and emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants around the world; however, it is costly and time-consuming to perform and is not widely available in low-resourced geographical regions. Pyrosequencing has the potential to augment surveillance efforts by providing information on specific targeted mutations for rapid identification of circulating and emerging variants. The current study describes the development of a reverse transcription (RT)-PCR-pyrosequencing assay targeting >65 spike protein gene (S) mutations of SARS-CoV-2, which permits differentiation of commonly reported variants currently circulating in the United States with a high degree of confidence. Variants typed using the assay included B.1.1.7 (Alpha), B.1.1.529 (Omicron), B.1.351 (Beta), B.1.375, B.1.427/429 (Epsilon), B.1.525 (Eta), B.1.526.1 (Iota), B.1.617.1 (Kappa), B.1.617.2 (Delta), B.1.621 (Mu), P1 (Gamma), and B.1.1 variants, all of which were confirmed by the NGS data. An electronic typing tool was developed to aid in the identification of variants based on mutations detected by pyrosequencing. The assay could provide an important typing tool for rapid identification of candidate patients for monoclonal antibody therapies and a method to supplement SARS-CoV-2 surveillance efforts by identification of circulating variants and novel emerging lineages.

Genomic evolution of the Coronaviridae family.

The current outbreak of coronavirus disease-2019 (COVID-19) caused by SARS-CoV-2 poses unparalleled challenges to global public health. SARS-CoV-2 is a Betacoronavirus, one of four genera belonging to the Coronaviridae subfamily Orthocoronavirinae. Coronaviridae, in turn, are members of the order Nidovirales, a group of enveloped, positive-stranded RNA viruses. Here we present a systematic phylogenetic and evolutionary study based on protein domain architecture, encompassing the entire proteomes of all Orthocoronavirinae, as well as other Nidovirales. This analysis has revealed that the genomic evolution of Nidovirales is associated with extensive gains and losses of protein domains. In Orthocoronavirinae, the sections of the genomes that show the largest divergence in protein domains are found in the proteins encoded in the amino-terminal end of the polyprotein (PP1ab), the spike protein (S), and many of the accessory proteins. The diversity among the accessory proteins is particularly striking, as each subgenus possesses a set of accessory proteins that is almost entirely specific to that subgenus. The only notable exception to this is ORF3b, which is present and orthologous over all Alphacoronaviruses. In contrast, the membrane protein (M), envelope small membrane protein (E), nucleoprotein (N), as well as proteins encoded in the central and carboxy-terminal end of PP1ab (such as the 3C-like protease, RNA-dependent RNA polymerase, and Helicase) show stable domain architectures across all Orthocoronavirinae. This comprehensive analysis of the Coronaviridae domain architecture has important implication for efforts to develop broadly cross-protective coronavirus vaccines.

Epidemiology, clinical characteristics and risk factors of COVID-19 among children in Saudi Arabia: a multicenter chart review study.

BACKGROUND: The Coronavirus Disease 2019 (COVID-19) has affected over 100 million cases worldwide. Children accounted for 1-5% of all cases with less reported symptoms and better prognosis compared to adults. This study aimed to describe the epidemiological characteristics and outcomes of pediatric COVID-19 cases in Saudi Arabia in addition to identifying risk factors associated with disease severity. METHODS: This was a multicenter, cross-sectional retrospective study that included confirmed SARS-CoV-2 infection among pediatric patients (< 14 years) from the time of initial identification in March 2020 to the end of July 2020 in 6 centers across the country. Patients were classified based on clinical severity. Study outcomes included time to recovery, need for invasive ventilation, and mortality. Multivariate logistic regression analysis was conducted to explore factors associated with increased disease severity. RESULTS: The study enrolled 567 children with (51.5%) were males, and (44.6%) aged from 6 to 14 years old. Asymptomatic patients accounted for 38.98% of the cases: while 319 patients (56%) had mild disease, and 27 patients (4.76%) had moderate-to-severe disease. Only 10 patients (1.76%) required Pediatric Intensive Care Unit admission. The calculated case-fatality was 0.7%. After performing multivariate regression analysis, chronic lung conditions [adjusted OR = 12.73, 95% CI (2.05-79.12)] and decreased red blood cells (RBCs) count [adjusted OR = 2.43, 95% CI (1.09-5.41] were found to be significant predictors for moderate-to-severe disease (p = 0.006 and 0.030, respectively). CONCLUSION: Most COVID-19 cases in the current study had a benign course of illness and carried an excellent prognosis. Children with chronic lung conditions or low RBCs count are at higher risk to develop moderate-to-severe COVID-19 disease.

Coronaviridae-Old friends, new enemy!

Coronaviridae is a family of single-stranded positive enveloped RNA viruses. This article aimed to review the history of these viruses in the last 60 years since their discovery to understand what lessons can be learned from the past. A review of the PubMed database was carried out, describing taxonomy, classification, virology, genetic recombination, host adaptation, and main symptoms related to each type of virus. SARS-CoV-2 is responsible for the ongoing global pandemic, and SARS-CoV and MERS-CoV were responsible for causing severe respiratory illness and regional epidemics in the past while the four other strains of CoVs (229-E OC43, NL63, and HKU1) circulate worldwide and normally only cause mild upper respiratory tract infections. Given the enormous diversity of coronavirus viruses in wildlife and their continuous evolution and adaptation to humans, future outbreaks would undoubtedly occur. Restricting or banning all trade in wild animals in wet markets would be a necessary measure to reduce future zoonotic infections.

Hypothesis: Designation of Liposomal Scavenger System for Fight against 2019-nCoV.

2019 novel coronavirus (2019-nCoV), also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or COVID-19 virus, is a member of the family Coronaviridae, which is responsible for the current pandemic of disease COVID-19. It is the seventh member of the family Coronaviridae which infects humans, after 229E, OC43, NL63, HKU1, SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV). Fever, dry cough and severe pneumonia are seen as common symptoms at the early stages of COVID-19. Some cases progress to acute respiratory stress syndrome, septic shock, organ failure, and death. The development of an effective treatment or vaccination for treating or preventing this lethal condition is an urgent need in order to fight this crisis. Up to now, some effective vaccines with different efficacy profiles have been introduced. Herein, we have theoretically designed a scavenger system for gathering 2019-nCoVs, breaking them, and re-introducing them to the immune system.

Phylogeography Reveals Association between Swine Trade and the Spread of Porcine Epidemic Diarrhea Virus in China and across the World.

The ongoing SARS (severe acute respiratory syndrome)-CoV (coronavirus)-2 pandemic has exposed major gaps in our knowledge on the origin, ecology, evolution, and spread of animal coronaviruses. Porcine epidemic diarrhea virus (PEDV) is a member of the genus Alphacoronavirus in the family Coronaviridae that may have originated from bats and leads to significant hazards and widespread epidemics in the swine population. The role of local and global trade of live swine and swine-related products in disseminating PEDV remains unclear, especially in developing countries with complex swine production systems. Here, we undertake an in-depth phylogeographic analysis of PEDV sequence data (including 247 newly sequenced samples) and employ an extension of this inference framework that enables formally testing the contribution of a range of predictor variables to the geographic spread of PEDV. Within China, the provinces of Guangdong and Henan were identified as primary hubs for the spread of PEDV, for which we estimate live swine trade to play a very important role. On a global scale, the United States and China maintain the highest number of PEDV lineages. We estimate that, after an initial introduction out of China, the United States acted as an important source of PEDV introductions into Japan, Korea, China, and Mexico. Live swine trade also explains the dispersal of PEDV on a global scale. Given the increasingly global trade of live swine, our findings have important implications for designing prevention and containment measures to combat a wide range of livestock coronaviruses.