Module Catalogue 2018/19

CHY2103 : Medicinal Chemistry and Drug Design

  • Offered for Year: 2018/19
  • Module Leader(s): Dr Celine Cano
  • Lecturer: Dr Agnieszka Bronowska, Dr Ian Hardcastle
  • Owning School: Natural and Environmental Sciences
  • Teaching Location: Newcastle City Campus
Semester 1 Credit Value: 10
ECTS Credits: 5.0
Pre Requisites
Code Title
CHY1101Basic Organic Chemistry
Pre Requisite Comment


Co Requisites
Code Title
CHY2101Organic Chemistry
Co Requisite Comment



To equip students with:
• knowledge and understanding of drug-receptor interactions, enzyme chemistry and the principles of drug design and action
• understand the basic concepts and uses of computational chemistry
• appreciate the validity of results based on appropriateness of theory levels
• be able to use ChemDraw as an interface to the GAMESS package
• know how to generate theoretical spectroscopic data for an arbitrary compound

Outline Of Syllabus

Principles of Medicinal Chemistry and Enzyme Action
Dr C Cano

* Principles of medicinal chemistry. Pharmacokinetics; Lipinski’s rule of five; Pharmacodynamics; Drug-receptor interactions
* Enzymes. What are enzymes?; How do they work?; Mechanisms of enzyme catalysis; Enzyme inhibition and co-enzyme catalysis
* Physicochemical properties of drugs. Ionisation constants; Aqueous solubility; Fick’s Law of diffusion; The cell membrane and lipophilicity; Partition and distribution coefficients
* Isosterism and bioisosterism. Functional group modifications
* Case studies – Design of small molecule enzyme inhibitors

Drug Design
Professor M Waring

* Drug discovery and development. The drug development process; Hits, leads and validated leads; Specific and non-specific drug action
* Lead optimisation. Pharmacophores and auxophores; Minimalisation; Homologation; Branching; Ring-chain transformations
* Case histories 1 – Enzyme Inhibitors. Competitive inhibitors: ACE, HMG-CoA etc; Irreversible inhibitors: Aspirin, Orlistat, vigabatrin
* Case histories 2 – Receptor targets. Migraine: 5HT agonists; Anticonvulsives: GABA agonists

Computational Chemistry
Dr T Penfold

Introduction to computational chemistry; how, why and when
Theory levels; balancing accuracy with computational time
Introduction to ChemDraw as an interface to computational calculations
Problem solving, worked example and revision

Learning Outcomes

Intended Knowledge Outcomes

• understand drug-receptor interactions and theories
• understand the principles of enzyme mechanism and knowledge of some specific examples
• be familiar with quantitative structure activity relationships
• understand how enzyme inhibitors work

Intended Skill Outcomes

Subject-specific or professional skills, able to :
• recognise specific drug types

Cognitive or intellectual skills, able to :
• suggest mechanisms for enzyme actions

Key skills, able to:
• solve problems in aspects of medicinal chemistry

Graduate Skills Framework

Graduate Skills Framework Applicable: Yes
  • Cognitive/Intellectual Skills
    • Active Learning : Present
    • Numeracy : Assessed
    • Literacy : Assessed
  • Self Management
    • Self Awareness And Reflection : Present
    • Personal Enterprise
      • Independence : Present
      • Problem Solving : Assessed
  • Interaction
    • Communication
      • Written Other : Present

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion110:0010:00Preparation and submission of modelling assignment
Guided Independent StudyAssessment preparation and completion200:5016:40Revision for end of semester examination
Guided Independent StudyAssessment preparation and completion12:002:00End of semester examination
Scheduled Learning And Teaching ActivitiesLecture241:0024:00N/A
Guided Independent StudyIndependent study147:2047:20Background reading and practice past paper examination questions
Jointly Taught With
Code Title
CHY2003Topics in Chemistry
Teaching Rationale And Relationship

Students acquire knowledge and understanding through lectures. Problem solving skills are introduced and practised in seminars.

Reading Lists

Assessment Methods

The format of resits will be determined by the Board of Examiners

Description Length Semester When Set Percentage Comment
Written Examination1201A80N/A
Other Assessment
Description Semester When Set Percentage Comment
Written exercise1M20Computational modelling assignment
Assessment Rationale And Relationship

The examination and assignment will test the student's knowledge and understanding of both the medicinal and the modelling lecture material.

Study Abroad students to take their exam before the semester 1 exam period, in which case the format of the paper may differ from that shown in the MOF. Study Abroad students should contact the school to discuss this.


Past Exam Papers

General Notes

Original Handbook text:

Disclaimer: The information contained within the Module Catalogue relates to the 2018/19 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2018/19 entry will be published here in early-April 2018. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.