60101813 Lab Seminar

WiSe 17/18: Computer-aided drug design

Andrea Volkamer

Additional information / Pre-requisites

Practical course date: 26.03.-30.03.2018, 5 days, daily 9 am - 5 pm.
Preliminary meeting: In February, exact date will be announced soon.

Place: Campus Mitte, Philippstr. 13, Haus 18, 10115 Berlin

Research AG Volkamer



Practical Course: Using open source software and libraries for data analysis and computer-aided drug design

This practical course introduces the students to diverse software tools and libraries which can support data generation and analysis in various areas of computer-aided drug design.  The course will sensitize the students to the ease and the profit of using bio-/cheminformatics methods.

The course shall enable the students to set-up their own drug design pipeline including protein target preparation, compound library set-up and filtering (i.e. using drug-like and toxicity filters), docking of the compounds to the target and evaluation of the results. The course will include the following tasks:

  • There will be a short introductory part into python programming using the novel and interactive IPython notebooks.
  • The students will write their own scripts using, e.g., python libraries for data handling (pandas), protein (BioPython) and compound (RDKit) processing as well as machine learning (scikit-learn) to prepare their compound libraries.  
  • Open access tools for protein structure preparation and visual inspection (PyMol) will be used.
  • AutoDock software will be engaged for docking of the compounds into the target protein and the results will be evaluated.   

Each day, we will perform a small task from the described computer-aided drug design pipeline. The students can work individually or in groups, depending on the total number of participants.


Subjects A - Z