BE6056 - Bioinformatics & Molecular Modelling (2023/24)
|Module specification||Module approved to run in 2023/24|
|Module title||Bioinformatics & Molecular Modelling|
|Module level||Honours (06)|
|Credit rating for module||15|
|School||School of Human Sciences|
|Total study hours||150|
|Running in 2023/24(Please note that module timeslots are subject to change)||
The module uses online public databases and software to extract, analyse and interpret nucleic acid and protein sequences and to model the structures of RNA and protein sequences. Genomics, in particular, with an emphasis on pharmacogenomics and phylogeny are covered.
The aims of this module are aligned with the qualification descriptors within the Quality Assurance Agency’s, Framework for Higher Education Qualifications. The module aims to provide familiarity with the primary and secondary databases used to analyse DNA, RNA and protein sequence, expression and structure, within and across genomes. Students will be given the opportunity to develop informatics skills for extracting, analysing and presenting data to extract biological knowledge. The principles of macromolecular, and in particular protein structure will be applied to the building of molecular models using modelling and graphics software. Applications of modelling will emphasise the importance of protein-protein interactions and protein-drug interactions. This module aims to provide students with the qualities and transferable skills necessary for employment requiring: the exercise of initiative and personal responsibility; decision-making in complex and unpredictable contexts; and, the learning ability needed to undertake appropriate further training of a professional or equivalent nature.
Prior learning requirements
The primary and secondary databases in biology including protein and gene sequences, protein structures, genome databases, disease databases - content, structure of files, links and other information.
Software for sequence analysis, including screening gene and protein databases, comparison of sequences, identification of functional domains, classification, phylogenetic analysis, RNA structure prediction.
Principles of protein architecture – review the role of non-covalent forces in the formation of secondary, tertiary and quaternary structures; protein folds and domains; folding and stability; membrane proteins; protein movement; protein complexes.
Software for analysis of known protein and nucleic acid structure.
Modelling protein structure; structure prediction by homology modelling; other approaches to prediction; probing active sites; protein interaction with other biomolecules; both proteins and drugs in particular. Protein-protein interactions and systems biology.
Balance of independent study and scheduled teaching activity
Students will be presented with material in interactive teacher-lead activities in the form of lectures, and IT tutorials. Student learning time will be used for class assignments, data analysis and preparation for coursework assignments.
On successful completion of this module students will be able to:
1. Critically analyse the type of information contained within different primary and secondary databases and be able to extract appropriate biological information and select appropriate software for informatic analysis and present the output in a useful form with biological context.
2. Evaluate the important factors which determine the structure of, and interactions between, different types of biological molecules.
3. Analyse standalone structures and complexes between different structures utilising graphics and modelling software and critically analyse results obtained from the running of bioinformatics programs
The module will be assessed by means of two coursework components, the first of which will provide formative feedback as well as summative assessment. To pass the module, students need to achieve a minimum aggregate mark of 40%. If the module is passed on reassessment, then the maximum mark awarded will be 40%.
The first assignment will involve the use of software to analyse gene and protein primary structure. The second assignment will involve the use of modelling and graphics software to predict and display protein structures and explore interactions of proteins with ligands, drugs or other biomolecules.