Protein Structure Prediction and Homology Modelling - BCH2123H

Powerful methods exist to extract the maximal amount of information from a protein sequence. Students will pick a topic from the list below (or suggest a topic) and present the state of the art to the class. Presentations should be based on 3-5 recent papers and should not be closely linked to methods being used in the student’s thesis project. Subject choices will be discussed with the instructor prior to approval.

Structure prediction methods (physics-based, empirical, machine learning, etc.)
Sequence alignments
Coevolution
Phylogenies
Conformational variability
CASP
Quaternary structure prediction
Membrane Proteins
Aligning and scoring structures
Ligand prediciton/docking
RNA structure prediction

Course Format:
6x 2h sessions

Method of Student Evaluation:
40% Oral presentation on the selected topic
40% Written 5 page minireview on the selected topic
20% Participation in group discussions

Course Coordinator:
Gil Privé

Enrollment Limit:
12