13979 - Artificial Intelligence for Drug Design Modulübersicht

Module Number: 13979
Module Title:Artificial Intelligence for Drug Design
  Künstliche Intelligenz in der Medikamentenentwicklung
Department: Faculty GW - Faculty of Health Sciences Brandenburg
Responsible Staff Member:
  • Prof. Dr. rer. nat. Schliep, Alexander
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: On special announcement
Credits: 4
Learning Outcome:After successfully completing the module, students have insight into this exciting field of application for Artificial Intelligence (AI). They are able to acquire research literature and to present the topic orally as well as in a written report.
Contents:AI is revolutionizing drug design both for small molecule drugs - the prevalent drug modality - and novel modalities such as oligonucleotide therapeutics. Some of the progress has been achieved by transferring methods from established AI areas such as NLP. For other areas novel methodological developments were instrumental, with very exciting developments on the intersection between molecular dynamics and AI. 

The focus of the seminar will be on state-of-the-art methods and applications of AI in drug design for small molecule drugs and oligonucleotide therapeutics.
Recommended Prerequisites:Working knowledge of probability/statistics and modern machine learning methods.
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Seminar / 2 Hours per Week per Semester
  • Self organised studies / 90 Hours
Teaching Materials and Literature:A list of original literature will be made available at the beginning of the semester.
Module Examination:Continuous Assessment (MCA)
Assessment Mode for Module Examination:
  • Seminar presentation, 30-45 min depending on the subject (40%)
  • Report on the topic of the seminar presentation, 10-15 pages (40%)
  • Active participation (20% of the total points)
A student passes the module, if he/she achieves 75% of the total.
Evaluation of Module Examination:Study Performance – ungraded
Limited Number of Participants:25
Part of the Study Programme:
  • Master (research-oriented) / Artificial Intelligence / PO 2022
Remarks:
  • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Seminars or Laboratories“
Module Components:
  • Seminar:  AI for Drug Design
Components to be offered in the Current Semester: