Bioinformatics and Pathway Analysis: Finding Viral Drug Targets

Understanding how viruses interact with host metabolic systems is key to developing modern medical treatments. This text-based course guides you through the core concepts of pathway bioinformatics to help you identify potential drug targets. By reading through our comprehensive explanations and analyzing genomic data, you will gain the skills needed to navigate biological databases and model metabolic pathways. You will learn to think like a computational biologist, using structured data to uncover vulnerable points in viral replication cycles. What you'll learn: - Understand the foundational principles of genomics, metabolic pathways, and host-pathogen interactions. - Navigate essential public biological databases such as KEGG, UniProt, and NCBI to retrieve genomic and metabolic data. - Analyze metabolic pathways to pinpoint critical enzymes and potential drug targets. - Apply modern bioinformatics workflows and text-based tools to process biological pathway data. - Practice interpreting genomic sequences and metabolic maps using step-by-step written tutorials and exercises. The course begins with essential definitions of genomic and metabolic concepts before moving into database navigation and pathway analysis techniques. This course is designed for beginners interested in computational biology, life sciences, or bioinformatics, with no prior programming or advanced biology experience required. Start your journey into the world of computational drug discovery today.