Hacking COVID-19: Metabolic Pathway Analysis Yields SARS-CoV-2 Drug Targets

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Level Foundation
Duration 9 hours
Course by University of California San Diego
Offered by

About

Pathway Bioinformatics is a subfield of Bioinformatics that is concerned with computationally deriving functional insights from genomic data through analysis of molecular networks. This course will present principles and techniques from Pathway Bioinformatics, and will apply these methodologies to the search for drug targets for SARS-CoV-2. The course will begin by discussing motivations for Pathway Bioinformatics, and by presenting an overview of metabolism and of metabolic pathways. Next it will discuss machine representation of pathway data, and methods for pathway visualization. The course will describe how the metabolic pathways of an organism can be inferred from genome data, and how pathways can be used to interpret high-throughput data such as transcriptomics data. It will show how to predict the essential genes of an organism via reachability analysis, and then present a metabolic analysis of human metabolism when interacting with SARS-CoV-2 to predict SARS-CoV-2 drug targets.

Modules

Welcome to the Course!

3 Readings

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3 Readings

Welcome to the Course!
The BioCyc Database Collection
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Chapter 7: Searching for Drug Targets

1 Readings

1 ExternalTool

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Stepik

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BioCyc Learning Library

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Discover the principles of Pathway Bioinformatics to identify SARS-CoV-2 drug targets in this engaging course. Ideal for those in Health & Fitness, the course covers metabolic pathway analysis, data visualization, and genomic data interpretation. Led by Coursera, it spans 540 minutes and offers both Starter and Professional subscription options. Perfect for foundational learners eager to delve into bioinformatics and its applications in combating COVID-19.