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Online bioinformatics teaching practice: Comparison of popular docking programs using SARS-CoV-2 spike RBD-ACE2
Wenxuan Fan1,2, Jun Mencius1,3, Wenjing Du1
1School of Biotechnology, East China University of Science and Technology, Shanghai, PR China.
This study highlights an online bioinformatics project comparing molecular docking programs for SARS-CoV-2 research. It provided students practical experience with computational biology tools and innovative teaching methods.
Area of Science:
- Bioinformatics
- Computational Biology
- Molecular Biology
Background:
- The integration of bioinformatics and experimental biology is crucial for analyzing large biological datasets.
- Current bioinformatics education often emphasizes theory over practical application, leaving students unprepared for research.
- The COVID-19 pandemic created a need for remote, hands-on learning experiences in scientific fields.
Purpose of the Study:
- To present a bioinformatics docking project conducted by undergraduate students during COVID-19 self-isolation.
- To systematically compare open-source online molecular docking programs using the SARS-CoV-2 RBD-ACE2 complex as a benchmark.
- To provide students with practical experience in bioinformatics tools and collaborative research.
Main Methods:
- Students utilized the Receptor-Binding Domain (RBD) of the SARS-CoV-2 spike protein and its receptor, Angiotensin-Converting Enzyme 2 (ACE2), as a model system.
- A systematic comparison of several open-source online molecular docking programs was performed.
- Predicted molecular structures from docking simulations were compared against the known crystal structure.
Main Results:
- Students gained practical skills in using various bioinformatics docking tools.
- The project facilitated collaborative research and independent learning among students.
- The comparison provided insights into the performance of different open-source molecular docking programs.
Conclusions:
- Online workshops and practical projects are effective for teaching modern bioinformatics techniques.
- This approach allows students to engage with state-of-the-art computational biology and stay current with research trends.
- The project demonstrates how to transform learning challenges, like pandemic-related isolation, into valuable educational opportunities.
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