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Pandemic strategies with computational and structural biology against COVID-19: A retrospective.
Liu, Ching-Hsuan; Lu, Cheng-Hua; Lin, Liang-Tzung.
  • Liu CH; Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.
  • Lu CH; Department of Microbiology & Immunology, Dalhousie University, Halifax, NS, Canada.
  • Lin LT; Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Comput Struct Biotechnol J ; 20: 187-192, 2022.
Article in English | MEDLINE | ID: covidwho-1549726
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 of 2020. Research studies on the virus and exploration of therapeutic and preventive strategies has 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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Etiology study / Observational study / Prognostic study Topics: Vaccines Language: English Journal: Comput Struct Biotechnol J Year: 2022 Document Type: Article Affiliation country: J.csbj.2021.11.040

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Etiology study / Observational study / Prognostic study Topics: Vaccines Language: English Journal: Comput Struct Biotechnol J Year: 2022 Document Type: Article Affiliation country: J.csbj.2021.11.040