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

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

This course is part of Applied Bioinformatics Specialization

Instructors: Mikhail Rayko

Included with

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1 module

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

9 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

9 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

91% of learners achieved a positive career outcome

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Build your subject-matter expertise

This course is part of the Applied Bioinformatics Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There is 1 module in this course

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.