Modules

Prerequisites

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.

Learning outcomes

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.

Assessment

• 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.

Remarks

• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Seminars or Laboratories” • Study programme Mathematical Data Science M.Sc.: Compulsory elective module in complex „Data Science Applications”