You will study 180 credits in total during your Chemical Biology and Drug Design, MSci. These are the modules studied in 2017. If you are starting in September 2018, these will give you are flavour of the modules you are likely to study. All Modules are subject to change.
Foundation of Chemical Biology- 10 credits
Fundamental aspects of organic and biological chemistry that underpin the understanding of chemical biology and drug design.
Drug Discovery and Development - 15 credits
Provides exposure to key aspects of the medicinal chemistry process and the pharmaceutical industry including a comprehensive understanding of cutting edge processes and technologies used to identify drug candidates and translate these through to market; and a critical awareness of the current challenges in the drug discovery process.
Emerging Topics in Chemical Biology - 25 credits
Appreciating the new techniques relevant to chemical biology, valuing different experimental approaches and recognising the importance of emerging topics in the context of biology as a whole.
Practical research project allowing you to experiment in an area relevant to the course. On completion of this module, you'll be able to formulate hypotheses to be tested experimentally; keep an accurate, formal record of research performed; apply key methods in appropriate chemical technology for the investigation of important problems and/or develop new methodology; and be able to interpret experimental data and to develop new models on the basis of these experiments.
Advanced Topics in Chemical Biology - 30 or 40 credits depending on whether practical bioinformatics or medical diagnostics is chosen as an optional module.
Provides broad understanding of core areas of advanced chemistry with a focus on chemical biology, to the most advanced level. Topics range from medicinal chemistry of pathways and computational drug design; chemical biology tools; completing the toolbox of organic reactions; metals in medicine; principles of electrochemistry to name a few.
Practical Bioinformatics - 10 credits
An overview of the practical problems that bioinformatics tools can be applied to investigate; bioinformatics databases, software and web-based tools; molecular evolution; sequence alignment; dynamic programming and substitution matrices; sequence database searching, methods and statistics; multiple sequence alignment, protein domain families, profiles, patterns and hidden Markov models; iterative searching and PSI-BLAST; phylogenetic tree estimation; protein structure analysis; structural alignment and classification; protein structure prediction, secondary structure prediction, comparative modelling, fold recognition, ab initio; whole genome databases and analyses; gene prediction.
Medical Diagnostics - 10 credits
This module will cover techniques used to diagnose disease and decide which therapies will work best for individuals. Three major areas of human disease will be covered including infectious disease, hereditary disease and oncology. Both ‘traditional’ and novel methods of diagnosis will be discussed including PCR, immunological testing, FISH, microarrays, sequencing and the use of medical biosensors.