Lecture 'Protein Prediction'

 

Type:

Lecture (4 SWS) + Exercise (2 SWS)

Ects:

8.0

Lecturer

Burkhard Rost  (lecture)
Tobias Hamp, Christian Schäfer, Esmeralda Vicedo (exercise)

Rotation:

Tuesday 13:15 - 14:45 (lecture)
Thursday, 10:00 - 11:30 (lecture)
Thursday, 11:30 - 12:15 (exercise)

Rooms:

Lecture: 01.09.034 (Tue), 01.11.018 'Konrad Zuse room' (Thu)
Exercise: 01.08.021 (Computer room), starting at May 5

 

 

Language:

English

 

 

Announcements:

No lecture: Tue May 10, Tue May 31, Thu Jun 16, Tue July 5, Thu July 7

Last lecture: Thu Jul 7

Examen (written): Jul 12, 13:15-14:45 (01.09.034)

  • Makeup: likely: October 13 - morning

 

NEWS: Exam inspection Sep 19, 2-3 pm

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.