535-0030-00L - Therapeutic proteins
If you want a crash course on
therapeutic immunology, development of biologics, GMP standards, and an
up-to-date overview on the biopharmaceutical market today, this is the course
for you. Covering everything from class switch and immune deficiencies, to
phage-display and recombinant antibody engineering, this course will open your
eyes to the endless therapeutic possibilities that can be achieved with biopharmaceuticals,
but also explain the obstacles and current issues of this industry today.
The course is very well structured in the sense that the first 4-5 weeks are
dedicated to the principles of therapeutic immunology, brushing up on new
concepts and research techniques, in order to prepare the foundation for the
second half of the course. This last part dwells more on the current reality of
the industry, how actual biologics in the clinics today came to be, and what
are the new challenges to overcome in the future. The course is evaluated
through a 15-20 minute oral exam, in which both parts of the course are
addressed separately: you are given 2 questions, one for each part, which you
are then expected to prepare for 5 minutes, then discuss and develop for the
remaining time.
535-0022-00L Computer-assisted drug
design
At first I was caught off guard and was
a bit intimidated by the sheer amount of new information being delivered to me,
but I was quickly able to adapt to the fast pace of this course. It is intended
for pharmaceutical sciences Master and PhD students, so I had to brush the
cobwebs off those pharmacology courses in my Bachelor just to be able to follow
the discussion. However, once you catch up, the reward is immense for anyone
interested in the future of drug discovery: computational tools are today indispensable
to streamline and improve any drug development enterprise.
The lectures are complemented with an
online training platform, where both theoretical and practical exercises are
uploaded right after each lecture for students to revise the concepts seen in
class. They are also an opportunity to try most of these computational tools
and software by yourself, to get a feeling of what each one of them can do for
you. The course is evaluated with a written examination during the semester,
but the evaluation of your online exercises can also be factored in the final
grade. If you plan on also taking the practical course, you must pass this
theoretical part first.
535-0023-00L Computer-assisted drug
design (practical)
This course is organized as a
condensed, two-week, full-time boot-camp meant to give you a comprehensive hands-on
introduction to what it means to use computational tools in actual drug design.
Because of the thorough and personalized nature of this intensive course, only
a handful of students are allowed to register based on their performance in the
theoretical course. You are tasked with a common drug-design project, where you
team up with other students to ideate, develop, synthesize and test an
inhibitor against a target protein using all the computational tools and
resources available to you. At the end of the two weeks, you and your team
present your results, focusing on your train of thought, how you utilized the
computational tools to your advantage and rationally explaining each step in the
development of your compound: you are evaluated based on how well you pitch your
compound and your development protocol to an interested party (the teachers).
To be honest, this has been one of my
most motivating, exciting and eye-opening experiences so far, and would
recommend it to anyone with the desire to learn more about the future of drug
development. Even if you don’t intend on becoming a bio-chemo-informatician, it
will certainly make you more aware of the global pharmaceutical development landscape
today.
535-0024-00L Methods in drug design
This is a series of lectures which
accompanies the practical course, and is meant to give you a more in-depth view
on the methods and techniques currently used in drug design. The rationale
behind the algorithms, the biophysical principle behind the assays and screens,
the advantages and disadvantages of the tools used today for drug development.