MICR40070 Enzyme Technology and Protein Engineering

Academic Year 2024/2025

The aim of the course is to introduce the scientific background and the state-of-the-art strategies and methods of enzyme/protein engineering. In particular, engineering enzymes for the synthesis of value added compounds has become central to modern biotechnology. The focus of this module will be placed on evolutive methods (directed molecular evolution) and rational protein design. The topic will be addressed by lectures providing the required molecular biology, computational and chemistry background, detailed introduction into various methodologies and case studies.

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Curricular information is subject to change

Learning Outcomes:

Upon successful completion of this module, students shall be able to:
1. Understand the theory of directed evolution and rational design for enzyme engineering;
2. Evaluate a number of in vitro DNA mutation technologies;
3. Have a good understanding of different high-throughput selection and screening technologies.

Indicative Module Content:

The following key topics will be discussed:
1. Discovery new enzymes and predict enzyme functions
2. Strategies for protein engineering
3. High throughput screening and selection technologies
4. Bioinformatic tools for protein engineering

Student Effort Hours: 
Student Effort Type Hours
Lectures

12
Specified Learning Activities

32
Autonomous Student Learning

70
Total

114
Approaches to Teaching and Learning:
lectures;
case-based learning;
active/task-based learning;
 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Equivalents:
Enzyme Technology&Protein Eng (INDM40070)


 
Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): 2 hour, close book exam End of trimester
Duration:
2 hr(s)
 Graded No

100

 No

Carry forward of passed components
No
 
Resit In Terminal Exam
Autumn Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Online automated feedback

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Name Role
Dr Tanja Narancic Lecturer / Co-Lecturer
Dr Yan Yan Lecturer / Co-Lecturer