Protein Prediction I Beginners (for Computer Scientists)

Type:

Lecture (4 SWS) + Exercise (2 SWS)

Ects:

8.0

Lecturer

Burkhard Rost  (lecture)
Tatyana Goldberg, Maximilian Hecht, Lothar Richter. (exercise)

Lecture:

Change of time and venue!
Due to the extraordinary high number of registrations we had to move.

Tuesday, 10:00 - 11:30

  • Room: MW 1801 (Maschinenwesen, Boltzmannstr. 15, 1st floor)

Thursday, 10:00 - 11:30

  • Room:  MW 1801 (Maschinenwesen, Boltzmannstr. 15, 1st floor)

Exercise:

Due to the extraordinary high number of registrations we have to adapt our schedule and currently look for suitable rooms and time slots.

Thursday, 12:00 - 13:30

  • Group (A): MI Hörsaal 2 (00.04.011)

  • Group (B): MI Hörsaal 3 (00.06.011)

Exam:

 

 

Review for the Retake Exam is on Tuesday, Nov. 4th, 10-12 am at 01.09.041

Review for Protein Prediction I Wiki-Grading and Regular Exam on September 15th/16th,
10-12 am

Makeup exam takes place Oct, 21st. according to TUMonline 16.30-18.00 at "Interimshörsaal 2"

Tuesday, July 8th, 10:00 - 11:30 AM

Room: MW 1801 (Ernst-Schmidt-Hörsaal, Maschinenwesen, Boltzmannstr. 15, 1st floor)

Language:

English

Announcements:
  • Makeup exam takes place Oct, 21st. according to TUMonline 16.30-18.00 at "Interimshörsaal 2" (the dark wooden building next to the snack booths)
  • Review for Protein Prediction I Wiki-Grading and Regular Exam on September 15th/16th, 10-12am
  • Lecture on June 12th CANCELLED due to illness
  • No lecture on June 3rd
  • Exercises starts at Apr. 24th
  • No lexture on Apr. 17th
  • NO LECTURE on Apr. 8th, lecture starts at Apr. 10th
  • Please be aware that some details are currently modfied. Please come back regularly

Content

Topics will include (but not be limited to):

  • Intro: what is protein function?
  • Predicting protein function using sequence: sequence alignments, multiple sequence alignments, motifs, domain assignment, annotation transfer by homology, ab initio predictions.
  • Predicting protein function using structure: structural alignments, structural motifs, annotation transfer via structure similarity.
  • From structure prediction to function prediction: comparative modeling; prediction of: secondary structure, hydrophilicity profiles, solvent accessibility, transmembrane segments, disordered regions, contact maps, functional residues; template free modeling.
  • Machine learning.

Materials

Lecture:

Exercise:

 The main information exchange for the exercise is this wiki. The organisation, requirements and grading of the exercise is explained there. Students create wiki entries about their topics and add their talks. - You can log in to edit with the credentials for the Rostlab student computer cluster.