Lecture and Exercise Protein Prediction II for Computer Scientists WS18/19

Type:

Lecture (4 SWS) + Exercise (2 SWS)

Ects:

8.0

Lecturer

Burkhard Rost  (lecture)

Jonas Reeb (exercise)

Michael Bernhofer (exercise)

Rotation:

Tuesday, 10:00 - 12:00
Thursday, 10:00 - 12:00
Thursday, (exercise), 12:00 - 13:00

Place:

Lecture:  01.09.034

Exercise: 01.09.034

Exam:

Language:

English

Announcements:

 

Exam review on Monday, March 18, from 11:00 to 12:00 in room 01.09.034.

 

No exercise on 22.11.

No lecture on 13.11 (SVV).

The latest news are always on top!

Exam tba

Content

This lecture continues the 'Protein Prediction I' lecture. The attendance of this lecture however is not a mandatory requirement for 'Protein Prediction II'. Topics will include (but not be limited to):

  • 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.

 

Exercise slides

25.10.

8.11.

15.11.  ml_sample_code.py  (updated NN paramters, and sample code for nested cross-validation)

29.11.

13.12.

10.11.

17.11. <<< An idea to consider for the final presentation

Lecture slides

Lecture 1 October 25th – Video

Lecture 2 November 15th – Video

Lecture 3 November 20th – Video

Lecture 4 November 27th – video unlisted

Lecture 5 November 29th – Video

Lecture 6 December 4th – Video

Lecture 7 December 13th – Video

Lecture 8 December 18th – Video

Lecture 9 January 10th – Video

Lecture 10 January 15th – No Video

Lecture 11 January 22th – Video

 Lecture 12 January 24th – Video