MS7027 - Bioinformatics and Molecular Modelling (2016/17)
Module specification | Module approved to run in 2016/17, but may be subject to modification | ||||||||||||
Module status | DELETED (This module is no longer running) | ||||||||||||
Module title | Bioinformatics and Molecular Modelling | ||||||||||||
Module level | Masters (07) | ||||||||||||
Credit rating for module | 20 | ||||||||||||
School | School of Human Sciences | ||||||||||||
Total study hours | 200 | ||||||||||||
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Assessment components |
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Running in 2016/17(Please note that module timeslots are subject to change) |
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Module summary
The module uses online databases and software to extract, analyse and interpret DNA and protein sequences and to model structures of proteins.
Prior learning requirements
Standard entry requirement: Lower second Lower Second first degree, or equivalent, in Biomedical Sciences, Pharmaceutical Science, Chemistry, Biochemistry or a related subject.
Module aims
This module aims to
· Provide familiarity with the primary databases and common software packages used to analyse DNA, RNA and protein sequence, expression and structure, within and across genomes
· Develop informatic skills for extracting, analysing and presenting data to extract biological knowledge
· Apply the principles of macromolecular, and in particular protein, structure to the building of molecular models using modelling and graphics software
· Examine applications of modelling will be examined with an emphasis on understanding the interactions between proteins and other molecules of biological or synthetic origin
Syllabus
Primary and secondary databases in areas of biology, genetics, pharmaceutical science and biomedical science including gene and protein sequence databases, 3-D structure databases, genome databases and disease databases.
Application of online servers to sequence alignment and analysis of gene and protein databases, RNA structure prediction, molecular modelling and phylogenetic classification and pharmacogenomics analysis. Docking and drug design.
Learning and teaching
Students will be presented with material in interactive teacher-led activities in the form of lectures and computer-based tutorial sessions. Student learning time will be used for assignments, data analysis and the preparation of coursework assignments.
PDP: on completion of this module students will write an evaluation of how the module allowed them to develop skills in data-mining, knowledge extraction and presentation in bioinformatics.
Learning outcomes
After completing the module students should have developed:
• An advanced systematic knowledge of the theoretical aspects of bioinformatics and molecular modelling and an up-to-date knowledge of current developments and knowledge in this area;
• An ability to apply knowledge learnt to bioinformatics and molecular modelling problems involving the extraction, analysing and presentation of data as appropriate;
• Intellectual skills, through reflection and through practice by engagement with the module learning materials.
Assessment strategy
Module is assessed by two coursework components which provide formative as well as summative assessment. Module must be passed overall with pass mark of 50%.
Bibliography
Key Online Resources:
Primary DNA and Protein Sequence Databases
GenBank: www.ncbi.nlm.nih.gov/Genbank EMBL: www.ebi.ac.uk/embl
DDBJ: www.ddbj.nig.ac.jp UniProt: www.uniprot.org or www.ebi.ac.uk/uniprot/
Protein database at the NCBI: www.ncbi.nlm.nih.gov/protein
Secondary Protein Databases and Sequence Alignment Servers
PROSITE: www.expasy.ch/prosite PRINTS:www.bioinf.manchester.ac.uk/dbbrowser/PRINTS
Pfam: pfam.sanger.ac.uk SMART: smart.embl-heidelberg.de
ProDom: prodom.prabi.fr/prodom/current/html/home.php
NCBI BLAST and PSI-BLAST: www.ncbi.nlm.nih.gov/blast
BLAST and FASTA@EBI: www.ebi.ac.uk/Tools/sss/ CLUSTALW2: www.ebi.ac.uk/Tools/clustalw2/
Protein Structure Prediction and Other Important Websites
SWISS-MODEL: www.expasy.org/swissmod/SWISS-MODEL.html
3D-JIGSAW: bmm.cancerresearchuk.org/~3djigsaw/
I-TASSER: zhanglab.ccmb.med.umich.edu/I-TASSER/
Protein Data Bank: www.rcsb.org/pdb PHYRE: www.sbg.bio.ic.ac.uk/~phyre
Swiss PDB viewer: spdbv.vital-it.ch SwissDock: www.swissdock.ch
Bibliography:
Attwood T.K. and Parry-Smith D.J. (2001) Introduction to Bioinformatics, (1st Edition) Pearson Education.
Baxevanis A.D. and Ouellette B.F.F. (eds.) (2005) Bioinformatics. A Practical Guide to the Analysis of Genes and Proteins, (3rd edition) John Wiley.
Bishop M.J. (ed.) (1999) Genetics Databases, Academic Press.
Bourne P.E. and Weissig H. (eds.) (2003) Structural Bioinformatics, Wiley Europe.
Branden C. and Tooze J. (1999) Introduction to Protein Structure, (2nd edition) Garland Publishing.
Bromham, L. (2008) Reading the Story in DNA a beginner’s guide to molecular evolution. Oxford University Press.
Brown, S.M. (2000) Bioinformatics: A Biologists Guide to Biocomputing and the Internet. Eaton.
Campbell A.M. and Heyer L.J. (2006) Discovering Genomics, Proteomics and Bioinformatics (2nd Edition) Pearson Benjamin Cummings.
Dardel, F. and Kepes, F. (2006) Bioinformatics: Genomics and post-genomics, Wiley.
Fersht A. (1999) Structure and Mechanism in Protein Science. W.H. Freeman and Co.
Gibas C. and Jambeck P. (2001) Developing Bioinformatics Computer Skills. O’Reilly and Associates Inc.
Gopal, S., Haake, A., Jones, R.P. and Tymann, P. (2009) Bioinformatics: A Computing Perspective, McGraw-Hill.
Higgins D. and Taylor W. (Eds.) (2000) Bioinformatics: Sequence, Structure and Databanks: a Practical Approach, Oxford University Press.
Hodgman, C., French, A. and Westhead D.R. (2009) Bioinformatics (Instant Notes) BIOS Scientific Publishers.
Kleanthous C. (ed.) (2000) Protein-Protein Recognition. Frontiers in Molecular Biology. Oxford University Press.
Krane D.E. and Raymer M.L. (2002) Fundamental Concepts of Bioinformatics, Benjamin Cummings.
Leach A.R. (2001) Molecular Modelling. Principles and Applications (2nd Edition). Longman.
Lesk A.M. (2008) Introduction to Bioinformatics (3rd Edition), Oxford University Press.
Lesk A.M. (2010) Introduction to Protein Science: Architecture, Function and Genomics, (2nd Edition) Oxford University Press.
Mount, D.W. (2004) Bioinformatics; Sequence and Genome Analysis (2nd Edition) CSHL Press.
Pevsner, J. (2009) Bioinformatics and Functional Genomics, 2nd Edition, Wiley-Blackwell.
Sternberg, M.J. ed. (1996) Protein Structure Prediction – A Practical Approach, Oxford University Press.
Zvelebil, M. and Baum J.O. (2008) Understanding Bioinformatics, Garland Science.