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| Semester | spring semester 2023 |
| Course frequency | Every spring sem. |
| Lecturers |
Amr Abdallah (amr.abdallah@unibas.ch)
Markus A. Lill (markus.lill@unibas.ch, Assessor) |
| Content | This course focuses on new developments in artificial intelligence, in particular deep neural networks, for drug design applications. It consists of - Lectures (pre-recorded) - Practical computer labs The course is provided in a flipped-classroom style. Lectures are pre-recorded. Students are requested to understand lectures before entering the classroom. Short quizzes will be taken at the beginning of the “Computer lab” sessions. In those sessions practcal in silico problems will be solved with the aim to intensify the understanding of the course material. Topics covered by the lectures: - De novo design and generative models - Molecular docking - Virtual screening - Free energy calculations |
| Learning objectives | In-depth understanding of the state-of-the-art AI techniques employed in the modern rational drug design, including their strenghts and weaknesses. Solving practical programming problems in AI related to computational drug design. |
| Bibliography | Citations for further reading will be provided throughout the course. |
| Weblink | Department of Pharmaceutical Sciences |
| Admission requirements | - Python programming - Attended lecture series in 46377: Molecular Modeling in Drug Design or comparable courses (e.g. Computational Chemistry) |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Friday | 15.15-17.00 | Biozentrum, Computerraum Kiwi 02.067 |
| Date | Time | Room |
|---|---|---|
| Friday 24.02.2023 | 15.15-17.00 | Biozentrum, Computerraum Kiwi 02.067 |
| Friday 03.03.2023 | 15.15-17.00 | Fasnachstferien |
| Friday 10.03.2023 | 15.15-17.00 | Biozentrum, Computerraum Kiwi 02.067 |
| Friday 17.03.2023 | 15.15-17.00 | Biozentrum, Computerraum Kiwi 02.067 |
| Friday 24.03.2023 | 15.15-17.00 | Biozentrum, Computerraum Kiwi 02.067 |
| Friday 31.03.2023 | 15.15-17.00 | Biozentrum, Computerraum Kiwi 02.067 |
| Friday 07.04.2023 | 15.15-17.00 | Ostern |
| Friday 14.04.2023 | 15.15-17.00 | Biozentrum, Computerraum Kiwi 02.067 |
| Modules |
Electives Master Drug Sciences: Recommendations (Master's Studies: Drug Sciences) |
| Assessment format | continuous assessment |
| Assessment details | Short quizzes & practical computer labs |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Departement Pharmazeutische Wissenschaften |