Selection: Higher education credits in science and engineering (maximum 240 credits)
21 November 2022 – 30 November 2022
Entry requirements: In the Master of Science Programme in Pharmacy and the Master's Programme in Chemical Engineering the student should have at least 150 credits in the program, and passed the course(s) in physical chemistry. In the Master's Programmes in Pharmaceutical Modelling and Drug Discovery and Development the student should have passed the course in Molecular Biopharmaceutics, as well as compulsory parts in the course Molecular Physical Pharmacy. Freestanding course: 150 credits including at least 6.5 credits in physical chemistry. Knowledge in English equivalent to that required for basic eligibility to Swedish higher education.
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.
Application fee: SEK 900
Tuition fee, first semester:
Tuition fee, total:
About the course
In the course, different simulation and modelling techniques (such as molecular dynamics, Monte Carlo, dissipative particle dynamics, lattice-Boltzmann methodology) are studied, and how these can be used in the process of drug development. Examples include how, in silico methods can be used for efficient design and understanding of pharmaceutical formulations for e.g. biological drugs, and how modelling and simulation thereby can be used as a means toward less trial-and-error and more knowledge-based formulation development.
The course contains a basic understanding of physics-based simulation and modelling methodology, applicable to pharmaceutical and biological problems. In the course, the mathematical foundations for the lattice-Boltzmann method are presented, which is a way to model pharmaceutical systems at the intersection between individual molecules and macroscopic variables. Lattice-Boltzmann is applied later in the course to e.g. stud diffusion of drugs, formulation components and delivery systems under the influence of different external forces.
Further, an understanding is built during the course of the differences and similarities that exists between different simulation and modelling techniques, and examples are used to illustrate how the choice of a particular approach affects the conclusions that can be drawn around a certain pharmaceutical question.
A particular emphasis during the course is on physics-based modelling and simulation of orally administered drugs, especially therapeutic macromolecules such as peptides and proteins. These are studied both with and without any delivery system, with the purpose of understanding how innate molecular properties affect them and their interactions with each other (binding, structural changes), and also how such properties affect interactions with formulation components (e.g. permeation enhancers), and finally how these processes are affected by e.g. concentration gradients and the surrounding physiology.