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Course information for the lecture "Applications of Transformer Networks in Bio- and Cheminformatics"

Lecture

  • Every Tuesday 12:30 - 14:00 in seminar room 25.02.02.21
  • First lecture 09.04.2024 & last lecture 16.07.2024
  • Slides are available as PDF in the folder "Lecture slides".
  • Lecture videos are available at: https://www.youtube.com/@DL4Molecules/playlists

Content of upcoming lectures

  • Training of protein language models (self-supervised and supervised)
  • The ESM-1b protein transformer network
  • Gradient Boosting Decision Trees
  • What are small molecules?
  • Transformer networks for small molecules
  • Best practices for optimizing/training Transformer Networks
  • Multimodal transformer networks (proteins and small molecules in the same input sequence)

Excercise group

  • Every Tuesday 16:30 - 18:00 in seminar room 25.02.02.21
  • First exercise group: 30.04.2024 (discussion of worksheets 1 & 2) & Last exercise group: 16.07.2024

Worksheets:

  • Published weekly on Tuesdays in the Worksheets folder. First worksheet will be published on 16.04.2024
  • Submission Deadline: The following Monday at 23:59
  • Submit online via https://uni-duesseldorf.sciebo.de/s/hCt1rTP23EeWmUC (if you have multiple files, zip them)
  • Admission to exams requires 50% of points on worksheets

Exam

TBD

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  • Jupyter Notebook 100.0%