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- W4200097777 abstract "The emergence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which is the etiologic agent of the coronavirus disease 2019 (COVID-19) pandemic, has dominated all aspects of life since 2020. Research studies on the virus and exploration of therapeutic and preventive strategies have been moving at rapid rates to control the pandemic. In the field of bioinformatics or computational and structural biology, recent research strategies have used multiple disciplines to compile large datasets to uncover statistical correlations and significance, visualize and model proteins, perform molecular dynamics simulations, and employ the help of artificial intelligence and machine learning to harness computational processing power to further the research on COVID-19, including drug screening, drug design, vaccine development, prognosis prediction, and outbreak prediction. These recent developments should help us better understand the viral disease and develop the much-needed therapies and strategies for the management of COVID-19." @default.
- W4200097777 created "2021-12-31" @default.
- W4200097777 creator A5021649741 @default.
- W4200097777 creator A5026956732 @default.
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- W4200097777 date "2022-01-01" @default.
- W4200097777 modified "2023-10-06" @default.
- W4200097777 title "Pandemic strategies with computational and structural biology against COVID-19: A retrospective" @default.
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- W4200097777 cites W3004919484 @default.
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- W4200097777 cites W3011701533 @default.
- W4200097777 cites W3015313862 @default.
- W4200097777 cites W3015433395 @default.
- W4200097777 cites W3019351867 @default.
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- W4200097777 cites W3020878652 @default.
- W4200097777 cites W3022285953 @default.
- W4200097777 cites W3022714712 @default.
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- W4200097777 cites W3037759458 @default.
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- W4200097777 doi "https://doi.org/10.1016/j.csbj.2021.11.040" @default.
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