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Multi-target Parallel Processing Approach for Gene-to-structure Determination of the Influenza Polymerase PB2 Subunit
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Pandemic strategies with computational and structural biology against COVID-19: A retrospective

Ching-Hsuan Liu1,2, Cheng-Hua Lu1, Liang-Tzung Lin1,3

  • 1Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.

Computational and Structural Biotechnology Journal
|December 13, 2021
PubMed

Insights

Bioinformatics and computational biology accelerate COVID-19 research. Advanced methods like AI and machine learning aid in drug discovery, vaccine development, and outbreak prediction for managing the pandemic.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • The COVID-19 pandemic, caused by SARS-CoV-2, has profoundly impacted global life since 2020.
  • Intensive research is underway to develop therapeutic and preventive strategies against the virus.

Purpose of the Study:

  • To highlight the role of bioinformatics and computational biology in advancing COVID-19 research.
  • To showcase how advanced computational methods are applied to understand and combat the virus.

Main Methods:

  • Utilizing multi-disciplinary approaches to compile large datasets.
  • Employing bioinformatics tools for protein visualization and modeling.
  • Performing molecular dynamics simulations.
  • Leveraging artificial intelligence (AI) and machine learning (ML) for computational analysis.

Main Results:

  • Identification of statistical correlations and significance in large datasets.
  • Development of computational models for viral proteins.
  • Application of AI/ML in drug screening and design.
  • Enhanced prediction capabilities for prognosis and outbreaks.

Conclusions:

  • Computational and structural biology approaches are crucial for understanding SARS-CoV-2.
  • AI and ML significantly enhance the speed and scope of COVID-19 research.
  • These advancements are vital for developing effective therapies and management strategies for COVID-19.
Keywords:
Artificial intelligenceCOVID-19Disease predictionDrug designDrug screeningMachine learningSARS-CoV-2Vaccine development

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