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.
Timetable
You will find the timetables for all courses and degree programmes of Leiden University in the tool MyTimetable (login). Any teaching activities that you have successfully registered for in uSis will automatically be displayed in MyTimetable. Any timetables that you add manually, will be saved and automatically displayed the next time you sign in.
MyTimetable allows you to integrate your timetable with your calendar apps such as Outlook, Google Calendar, Apple Calendar and other calendar apps on your smartphone. Any timetable changes will be automatically synced with your calendar. If you wish, you can also receive an email notification of the change. You can turn notifications on in ‘Settings’ (after login).
For more information on MyTimetable, watch the video or go to the 'help-page' in MyTimetable.
PLEASE NOTE
Always check the detailed schedule on the Brightspace module of each Course 2-3 weeks before the start of the Course for group-specific meetings, (intermediate) deadlines, etc..
Mode of instruction
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.
Assessment 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.
Reading list
Literature will be provided during the course.
Registration
All students that are admitted to the Minor MDD will be registered for this course in uSis by the Minor coordinator; other students cannot take this course.
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.