COURSE DESCRIPTION: It is an introductory course to Protein Bioinformatics. We provide a systematic introduction to the major techniques, algorithms and tools used in Bioinformatics (for sequence alignments, classifications, secondary and tertiary structure predictions, modeling, sampling of conformations, energy functions, prediction of various functional and structural features of proteins, docking etc.).
REQUIRED MATERIALS: Not required, but suggested: Computational Biochemistry and Biophysics, Marcel Dekker, New York, NY (2001). M. Watanabe, B. Roux, A. MacKerell, and O. Becker; Biological Sequence Analysis : Probabilistic Models of Proteins and Nucleic Acids by R. Durbin, S. R. Eddy, A. Krogh, G. Mitchison; Bioinformatics: The Machine Learning Approach, Second Edition by: P. Baldi; Protein Structure Prediction: A Practical Approach by MJE Sternberg
STUDENT PREPARATION: Clear understanding of basic biochemical and biophysical concepts are expected. i.e. Biochemistry course in first Block is advised.
SUITABLE FOR 1ST YEAR STUDENTS: Yes
UNIQUE TRAINING OFFERED IN THIS COURSE: N/A
STUDENT ASSESSMENTS: A midterm and a final exam.
CREDIT HOURS: 2.0