COMPUTER MODELLING OF DRUGS AND BIOMOLECULES - 2017/8

Module code: CHE2032

Module provider

Chemistry

Module Leader

HOWLIN BJ Dr (Chemistry)

Number of Credits

15

ECT Credits

7.5

Framework

FHEQ Level 5

JACs code

I100

Module cap (Maximum number of students)

N/A

Module Availability

Semester 2

Overall student workload

Independent Study Hours: 117

Assessment pattern

Assessment type Unit of assessment Weighting
Coursework COURSEWORK 100

Alternative Assessment

N/A - Retake Coursework

Prerequisites / Co-requisites

None

Module overview

To provide introductory practical experience in modern computer graphics and modelling techniques for the chemical industry and research.

Module aims

To introduce students to the techniques of molecular modelling applied to both small molecules and proteins and the use of a range of databases in these studies.

To examine simple quantum mechanical calculations.

To gain practical experience in homology modelling of proteins.

To introduce the concepts behind chemoinformatics.

To describe the representation of structural and chemical data.

To introduce the use of 2-dimensional reduction, for specifying chemical structures.

To study the use of databases to store and retrieve structural and chemical data.

Learning outcomes

Attributes Developed
Be familiar with the wide range of modelling techniques as a precursor to applying these to the Industrial Research Year and beyond   K
Have an in-depth appreciation of how to carry out practical projects requiring teamwork and initiative to use the most advanced methods to store and retrieve 3-dimensional data in a database and to display it in a variety of ways. CPT
Critically understand the science behind how to reduce a 3-dimensional structure to a 2-D format. KC
Have an in-depth understanding of how to carry out QSAR analysis on pharmaceutical compounds. KPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Module content

Indicative content includes:





Introduction to molecular modelling and computational chemistry.




Simple theory of molecular mechanics and molecular orbital calculations. Energy expressions and minimisation techniques.




Small Molecule Modelling.




Practical applications using MOE and GAUSSIAN on PCs with GAUSSVIEW.




Conformations in molecules and conformational analysis.




Using GAUSSIAN to predict and animate IR and NMR spectra of simple molecules




Protein Modelling and Databases




Introduction to protein three-dimensional structure covering amino acids, codes for amino acids, sequence analysis, primary, secondary, tertiary and quaternary structure.




The Protein Database for protein X-ray structures and using the Web Browser.




Protein structure prediction, use of artificial intelligence (the EMBL Predict-Protein programme) and other internet resources.




The use of MOE for visualising structures.




Introduction to chemoinformatics, what it is, what it can do.




3D-2D reduction- the SMILES string




Introduction to the use of MOE databases




Designing QSAR equations using MOE




Practical exercise on Nicotinic inhibitors using MOE




Designing new drugs using QSAR




Does it exist? Validating results




Lipinski’s rule of Five





 

 

 

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

Give the student both practical and theoretical knowledge of modern molecular modelling

 

The learning and teaching methods include:

A hands on workshop approach will be taken to the computational modelling in the computing laboratory (33 hours).

 

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate

Practical skills in computer modelling

Thus, the summative assessment for this module consists of:


Coursework on protein modelling, 50% (meets learning outcomes 1,2)
Coursework on QSAR, 50% (meets learning outcomes 3 and 4)


 

Formative assessment

Hands on guidance to the coursework will be given

 

Feedback

Individual and in class feedback will be given on the progress in modelling

Reading list

Reading list for COMPUTER MODELLING OF DRUGS AND BIOMOLECULES : http://aspire.surrey.ac.uk/modules/che2032

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Chemistry BSc (Hons) 2 Optional A weighted aggregate mark of 40% is required to pass the module
Chemistry with Forensic Investigation BSc (Hons) 2 Optional A weighted aggregate mark of 40% is required to pass the module
Chemistry with Forensic Investigation MChem 2 Optional A weighted aggregate mark of 40% is required to pass the module
Chemistry MChem 2 Optional A weighted aggregate mark of 40% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2017/8 academic year.