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An overview of COVID-19 with an emphasis on computational approach for its preventive intervention.

ABSTRACT: SARS-CoV-2, a novel Betacoronavirus, has attracted global attention because of its extremely high infection rate and large number of human deaths. It possesses a positive-sense, single-stranded RNA of ~ 30 kb nucleotides as its genetic material. It is responsible for COVID-19 which has been declared a pandemic by WHO. Having reported for the first time in Wuhan, China, the virus infected over 21.48 million people and caused over 0.77 million deaths till mid-august 2020. SARS-CoV-2 contains the spike protein site that gets activated by an enzyme furin which is found in the lung, liver, and small intestine of humans. It shows the potentiality of virus for attacking multiple organs and their failures. Due to the absence of vaccines, the cure is restricted to supportive care including repurposed drugs. In silico approaches may offer an alternative screening to optimize hits to lead stages. It can provide important related to drug resistance, their lineages and evolution. This approach may also help to find an effective vaccine against COVID-19. This review focuses on the in silico aspects of genomics, proteomics, pathogenesis, phylogenetic analysis and viral receptor binding analysis in Betacoronavirus.

SUBMITTER: Mishra D

PROVIDER: S-EPMC7493697 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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An overview of COVID-19 with an emphasis on computational approach for its preventive intervention.

Mishra Divya D Mishra Ashish A Chaturvedi Vivek K VK Singh M P MP

3 Biotech 20200916 10

SARS-CoV-2, a novel <i>Betacoronavirus</i>, has attracted global attention because of its extremely high infection rate and large number of human deaths. It possesses a positive-sense, single-stranded RNA of ~ 30 kb nucleotides as its genetic material. It is responsible for COVID-19 which has been declared a pandemic by WHO. Having reported for the first time in Wuhan, China, the virus infected over 21.48 million people and caused over 0.77 million deaths till mid-august 2020. SARS-CoV-2 contain ...[more]

PMID: 32959007

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Project description:BackgroundThe overload of healthcare systems around the world and the danger of infection have limited the ability of researchers to obtain sufficient and reliable data on psychopathology in hospitalized patients with coronavirus disease 2019 (COVID-19). The relationship between severe acute respiratory syndrome with the coronavirus 2 (SARS-CoV-2) infection and specific mental disturbances remains poorly understood.AimTo reveal the possibility of identifying the typology and frequency of psychiatric syndromes associated with acute COVID-19 using cluster analysis of discrete psychopathological phenomena.Materials and methodsDescriptive data on the mental state of 55 inpatients with COVID-19 were obtained by young-career physicians. Classification of observed clinical phenomena was performed with k-means cluster analysis of variables coded from the main psychopathological symptoms. Dispersion analysis with p level 0.05 was used to reveal the clusters differences in demography, parameters of inflammation, and respiration function collected on the basis of the original medical records.ResultsThree resulting clusters of patients were identified: (1) persons with anxiety; disorders of fluency and tempo of thinking, mood, attention, and motor-volitional sphere; reduced insight; and pessimistic plans for the future (n = 11); (2) persons without psychopathology (n = 37); and (3) persons with disorientation; disorders of memory, attention, fluency, and tempo of thinking; and reduced insight (n = 7). The development of a certain type of impaired mental state was specifically associated with the following: age, lung lesions according to computed tomography, saturation, respiratory rate, C-reactive protein level, and platelet count.ConclusionAnxiety and/or mood disturbances with psychomotor retardation as well as symptoms of impaired consciousness, memory, and insight may be considered as neuropsychiatric manifestations of COVID-19 and should be used for clinical risk assessment.

Dataset Information

An overview of COVID-19 with an emphasis on computational approach for its preventive intervention.

Publications

An overview of COVID-19 with an emphasis on computational approach for its preventive intervention.

Similar Datasets

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