Biochemistry, Structural Bioinformatics and Drug Designing

Course Features

Course Instructor: Vanercia
Who should do it: Bachelors (Pursuing / Completed) and above
Assessment: Exams at end of course, Quiz and Assignments
Certificate: Yes

Course Details

Genes and proteins study enables understanding of interaction of genes and proteins in animals, plants and microbes. Genomics and proteomics data analysis is the most worked upon field. The data analysis gives molecular biologists an insight into the principles and technologies used in genomics and proteomics to address biological problems related to health, food insecurities, and improving the environment. Traditional ways of treating diseases will not stop a large number of deaths occurring across the globe.

Career Options

Bioinformatics and genome analysis is now being applied to various fields such as medicines and vaccine development, agriculture, industrial biotechnology and environmental remediation. The skilled persons are indispensable for research as well as industry. This science integrates molecular biology, biochemistry, cell biology, developmental biology and medicinal research, therefore, entrepreneurship is also an important career taken up by students equipped with knowledge of molecular genetics, bioinformatics softwares and data analysis tools.

Learning Outcomes

• This bioinformatics course provides an introduction to genes, amino acids and proteins followed by history and events which led to the evolution of this science.
• The course also covers online softwares and tools for nucleotide sequence analysis and protein structural and functional analysis.
• The course includes online-lectures, presentations and project-based training designed on the inputs from academia and industry.
• Quiz and assignments based on modules covered, for practice.

Course Modules

• Proteins: Structure, properties and functions
• Protein: Physico-chemical analysis
• Biological databases
• Bioinformatics softwares and tools for Protein sequences Retrieval, Format and Data Cleaning
• Blast Search and Result Analysis
• Computational Biology and Drug Designing: Principles and Applications
• Computational Drug Discovery Pipeline