Protein structure prediction and homology modelling
BCH2123
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 Next Offered
Fall 2024
Course Time and Location
6x 2 h our sessions
MaRS 1622 from 2-4PM Oct 2 to Nov 13
Enrollment Limit
Yes — 12
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
Coordinator
Gil Privé
Room 4-803 PMCRT
101 College Street
416-581-7541
prive@uhnres.utoronto.ca