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  • Open Access

    REVIEW

    Molecular basis of COVID-19, ARDS and COVID-19-associated ARDS: Diagnosis pathogenesis and therapeutic strategies

    PRIYADHARSHINI THANJAVUR SRIRAMAMOORTHI1,2, GAYATHRI GOPAL1,2, SHIBI MURALIDAR1,2, SAI RAMANAN ESWARAN1,2, DANUSH NARAYAN PANNEERSELVAM1,2, BHUVANESWARAN MEIYANATHAN1,2, SRICHANDRASEKAR THUTHIKKADU INDHUPRAKASH1,2, SENTHIL VISAGA AMBI1,2,*

    BIOCELL, Vol.47, No.11, pp. 2335-2350, 2023, DOI:10.32604/biocell.2023.029379

    Abstract The novel coronavirus pneumonia (COVID-19) is spreading worldwide and threatening people greatly. The routes by which SARS-CoV-2 causes lung injury have grown to be a major concern in the scientific community since patients with new Coronavirus, severe acute respiratory syndrome coronavirus (SARS-CoV-2) have a high likelihood of developing acute respiratory distress syndrome (ARDS) in severe cases. The mortality rate of COVID-19 has increased over the period due to rapid spread, and it becomes crucial to understand the disease epidemiology, pathogenic mechanisms, and suitable treatment strategies. ARDS is a respiratory disorder and is one of the clinical manifestations observed in patients… More > Graphic Abstract

    Molecular basis of COVID-19, ARDS and COVID-19-associated ARDS: Diagnosis pathogenesis and therapeutic strategies

  • Open Access

    REVIEW

    Cellular and molecular insights into microbiota-mitochondria interplay, therapeutic biomarkers and interventional approaches in COVID-19: A review

    VIBHAV VARSHNEY1,*, PRASHANT SINGH KUSHWAH2, NEETU AGRAWAL1, AHSAS GOYAL1,*, GOVIND SINGH2

    BIOCELL, Vol.47, No.10, pp. 2141-2149, 2023, DOI:10.32604/biocell.2023.030853

    Abstract The persistent global pandemic, COVID-19, stems from the pathogenic influence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), yielding an unprecedented worldwide crisis. With reference to a WHO report, the count of COVID-19 cases had exceeded 754 million by February 03, 2023. Intriguingly, emerging research has spotlighted the intricate interplay of gut microbiota and mitochondrial entities, acting as potent immunomodulatory factors at the cellular and molecular levels. This interconnection operates through a series of dynamic mechanisms. SARS-CoV-2 infection perturbs the delicate equilibrium of gut microbiota, leading to dysbiosis—a signature biomarker. This imbalance is intrinsically linked to exacerbated COVID-19 progression. Mechanistically,… More >

  • Open Access

    VIEWPOINT

    Future of the current anticoronaviral agents: A viewpoint on the validation for the next COVIDs and pandemics

    AMGAD M. RABIE*

    BIOCELL, Vol.47, No.10, pp. 2133-2139, 2023, DOI:10.32604/biocell.2023.030057

    Abstract Despite the global decline in the severity of the coronavirus disease 2019 (COVID-19) cases, the disease still represents a major concern to the relevant scientific and medical communities. The primary concern of drug scientists, virologists, and other concerned specialists in this respect is to find ready-to-use suitable and potent anticoronaviral therapies that are broadly effective against the different species/strains of the coronaviruses in general, not only against the current and previous coronaviruses (e.g., the recently-appeared severe acute respiratory syndrome coronavirus 2 “SARS-CoV-2”), i.e., effective antiviral agents for treatment and/or prophylaxis of any coronaviral infections, including those of the coming ones… More > Graphic Abstract

    Future of the current anticoronaviral agents: A viewpoint on the validation for the next COVIDs and pandemics

  • Open Access

    REVIEW

    Molecular dynamics-driven exploration of peptides targeting SARS-CoV-2, with special attention on ACE2, S protein, Mpro, and PLpro: A review

    MOHAMAD ZULKEFLEE SABRI1, JOANNA BOJARSKA2, FAI-CHU WONG3,4, TSUN-THAI CHAI3,4,*

    BIOCELL, Vol.47, No.8, pp. 1727-1742, 2023, DOI:10.32604/biocell.2023.029272

    Abstract Molecular dynamics (MD) simulation is a computational technique that analyzes the movement of a system of particles over a given period. MD can provide detailed information about the fluctuations and conformational changes of biomolecules at the atomic level over time. In recent years, MD has been widely applied to the discovery of peptides and peptide-like molecules that may serve as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) inhibitors. This review summarizes recent advances in such explorations, focusing on four protein targets: angiotensin-converting enzyme 2 (ACE2), spike protein (S protein), main protease (Mpro), and papain-like protease (PLpro). These four proteins are… More > Graphic Abstract

    Molecular dynamics-driven exploration of peptides targeting SARS-CoV-2, with special attention on ACE2, S protein, M<sup>pro</sup>, and PL<sup>pro</sup>: A review

  • Open Access

    ARTICLE

    SARS-CoV-2 and Cancer: What Is the Psychological Impact?
    Experience of Department of Medical Oncology, Hassan-II University Hospital of Fez, Morocco

    SARS-CoV2 et cancer : quel impact psychologique ?
    Expérience du service d’oncologie médicale du centre hospitalier universitaire Hassan-II de Fès, Maroc

    L. Amaadour, I. Lahrch, O. Siyouri, K. Oualla, Z. Benbrahim, S. Arifi, C. Aarab, S. El Fakir, N. Mellas

    Psycho-Oncologie, Vol.17, No.1, pp. 38-43, 2023, DOI:10.3166/pson-2022-0221

    Abstract Background: The Covid-19 disease is a cause for several mental alterations mainly in cancer patients who are already categorized as a vulnerable population.
    Aim: The objective of this study is to characterize psychological disorders caused by Covid-19 infection among cancer patients on systemic treatment.
    Methods: It is a cross-sectional study performed at the Department of Medical Oncology of Hassan-II University Hospital of Fez, Morocco, during a period of four months (peak of the pandemic). Symptoms of anxiety/depression and post-traumatic stress disorder in patients were screened using HADS (Hospital Anxiety and Depression Scale) and PCL-5 (post-traumatic stress disorder checklist version DSM-5)… More >

  • Open Access

    ARTICLE

    Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’ Response Against COVID Variants

    Hassam Tahir1, Muhammad Shahbaz Khan1, Fawad Ahmed2, Abdullah M. Albarrak3, Sultan Noman Qasem3, Jawad Ahmad4,*

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3517-3535, 2023, DOI:10.32604/cmc.2023.035410

    Abstract The COVID-19 outbreak began in December 2019 and was declared a global health emergency by the World Health Organization. The four most dominating variants are Beta, Gamma, Delta, and Omicron. After the administration of vaccine doses, an eminent decline in new cases has been observed. The COVID-19 vaccine induces neutralizing antibodies and T-cells in our bodies. However, strong variants like Delta and Omicron tend to escape these neutralizing antibodies elicited by COVID-19 vaccination. Therefore, it is indispensable to study, analyze and most importantly, predict the response of SARS-CoV-2-derived t-cell epitopes against Covid variants in vaccinated and unvaccinated persons. In this… More >

  • Open Access

    ARTICLE

    CNN-LSTM Face Mask Recognition Approach to Curb Airborne Diseases COVID-19 as a Case

    Shangwe Charmant Nicolas*

    Journal of Intelligent Medicine and Healthcare, Vol.1, No.2, pp. 55-68, 2022, DOI:10.32604/jimh.2022.033058

    Abstract The COVID-19 outbreak has taken a toll on humankind and the world’s health to a breaking point, causing millions of deaths and cases worldwide. Several preventive measures were put in place to counter the escalation of COVID-19. Usage of face masks has proved effective in mitigating various airborne diseases, hence immensely advocated by the WHO (World Health Organization). A compound CNN-LSTM network is developed and employed for the recognition of masked and none masked personnel in this paper. 3833 RGB images, including 1915 masked and 1918 unmasked images sampled from the Real-World Masked Face Dataset (RMFD) and the Simulated Masked… More >

  • Open Access

    ARTICLE

    PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN

    WEI WANG1,#, YANRONG PEI2,#, SHUI-HUA WANG1, JUAN MANUEL GORRZ3, YU-DONG ZHANG1,*

    BIOCELL, Vol.47, No.2, pp. 373-384, 2023, DOI:10.32604/biocell.2023.025905

    Abstract Since 2019, the coronavirus disease-19 (COVID-19) has been spreading rapidly worldwide, posing an unignorable threat to the global economy and human health. It is a disease caused by severe acute respiratory syndrome coronavirus 2, a single-stranded RNA virus of the genus Betacoronavirus. This virus is highly infectious and relies on its angiotensin-converting enzyme 2-receptor to enter cells. With the increase in the number of confirmed COVID-19 diagnoses, the difficulty of diagnosis due to the lack of global healthcare resources becomes increasingly apparent. Deep learning-based computer-aided diagnosis models with high generalisability can effectively alleviate this pressure. Hyperparameter tuning is essential in… More >

  • Open Access

    ARTICLE

    dbSCI: A manually curated database of SARS-CoV-2 inhibitors for COVID-19

    QIANG WANG#, GUO ZHAO#, LONGXIANG XIE#, XUAN LI, XIXI YU, QIONGSHAN LI, BAOPING ZHENG, ZULIPINUER WUSIMAN, XIANGQIAN GUO*

    BIOCELL, Vol.47, No.2, pp. 367-371, 2023, DOI:10.32604/biocell.2023.025310

    Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen of the ongoing coronavirus disease 2019 (COVID-19) global pandemic. Here, by centralizing published cell-based experiments, clinical trials, and virtual drug screening data from the NCBI PubMed database, we developed a database of SARS-CoV-2 inhibitors for COVID-19, dbSCI, which includes 234 SARS-CoV-2 inhibitors collected from publications based on cell-based experiments, 81 drugs of COVID-19 in clinical trials and 1305 potential SARS-CoV-2 inhibitors from bioinformatics analyses. dbSCI provides four major functions: (1) search the drug target or its inhibitor for SARS-CoV-2, (2) browse target/inhibitor information collected from cell experiments, clinical trials, and… More >

  • Open Access

    ARTICLE

    A Theoretical Investigation of the SARS-CoV-2 Model via Fractional Order Epidemiological Model

    Tahir Khan1, Rahman Ullah1, Thabet Abdeljawad2,3,*, Manar A. Alqudah4, Faizullah Faiz5

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1295-1313, 2023, DOI:10.32604/cmes.2022.022177

    Abstract We propose a theoretical study investigating the spread of the novel coronavirus (COVID-19) reported in Wuhan City of China in 2019. We develop a mathematical model based on the novel corona virus's characteristics and then use fractional calculus to fractionalize it. Various fractional order epidemic models have been formulated and analyzed using a number of iterative and numerical approaches while the complications arise due to singular kernel. We use the well-known Caputo-Fabrizio operator for the purposes of fictionalization because this operator is based on the non-singular kernel. Moreover, to analyze the existence and uniqueness, we will use the well-known fixed… More >

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