Prospectus

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Modern Analytical Approaches to Drug Discovery

Course
2026-2027

Admission requirements

This course is mandatory for and restricted to students who do the Minor ‘Modern Drug Discovery’ (MDD). The same admission criteria apply to this course as for the entire Minor MDD.

Description

This course will provide the students with an overview of the modern analytical separation techniques used in drug discovery and development, bioanalysis and metabolomics. Technological developments in (miniaturized) sample preparation, mass spectrometry-based detection, and liquid-phase separation techniques, will be presented and discussed, using representative examples. Special attention will be devoted to high-throughput and high-resolution techniques that enhance peak capacity, selectivity and speed of analysis which are of high importance in large-scale clinical studies.

The course will be composed of both lectures and (team) assignments. The team assignment will consist of a tutorial type of video presentation to fellow students on a specific topic linked to bioanalysis, metabolomics, or drug discovery and development. The presentations will take place during the last few weeks of the course. In addition to this, each student will set up a research proposal (max. 750 words; two pages max, including figures/tables and references), focused on the design of an analytical strategy/workflow for addressing a relevant problem in drug discovery and/or metabolomics.

Course objectives

  • To explain the separation principles using the concepts of resolution and peak capacity in the context of modern analytical techniques

  • To discuss the strengths and limitations of modern analytical separation techniques for drug discovery according to main separation performance characteristics

  • To design an analytical workflow for an actual problem in the context of drug discovery based on the concepts of modern separation techniques

  • To develop as a team a short video lecture (MAADDTube) on an advanced analytical technique in drug discovery or related context with well-defined learning goals

  • To create a proposal on the design of an analytical technique for addressing a key problem in bioanalysis, health sciences or metabolomics in which the main separation principles are critically considered.

Schedule

Teaching method

Lectures and team assignments.

Lectures will be given by the coordinator and invited speakers, experts in their respective fields.
The team assignment is based on preparing a short video lecture, so called MAADDTube (in analogy to YouTube) by the use of a smartphone (or any other recording device) on a specific topic related to addressing a relevant problem in drug discovery using modern analytical techniques. Each group will present the video lecture to the lecturers and fellow students in maximal 10 min., including answering questions.

Assesment method

The final grade will be based on the grade of the research proposal (individual grade) and of the video assignment (group grade), according to a 70:30 ratio (see below). Students will pass the course if the grade for each assignment is ≥ 5.0 and their weighted average is ≥ 5.5.

  • Research proposal (70%) – Individual assignment; proposal should be preferably written in English.

  • Presentation (30%) - Should be given in English, a grade is given to group.

Resit, review & feedback

An extra literature study assignment is required for students in case they do not pass the course.

Reading list

Will be provided during the course.

Registration

Contact

Dhr. Dr. R. Ramautar - Metabolomics and Analytics Centre

Remarks

Software

Starting from the 2024/2025 academic year, the Faculty of Science will use the software distribution platform Academic Software. Through this platform, you can access the software needed for specific courses in your studies. For some software, your laptop must meet certain system requirements, which will be specified with the software. It is important to install the software before the start of the course. More information about the laptop requirements can be found on the student website.