The Hebrew University Logo
Syllabus BIOINFORMATICS AND STRUCTURAL BIOCHEMISTRY - 71437
עברית
Print
 
PDF version
Last update 05-03-2019
HU Credits: 3

Degree/Cycle: 1st degree (Bachelor)

Responsible Department: Biochemistry & Food Sciences

Semester: 2nd Semester

Teaching Languages: Hebrew

Campus: Rehovot

Course/Module Coordinator: Prof. Masha Niv

Coordinator Email: masha.niv@mail.huji.ac.il

Coordinator Office Hours: I will meet you gladly, please send email for appointment

Teaching Staff:
Prof Masha Niv
Mr.

Course/Module description:
Basic cocepts in bioinformatics, sequence and strucute of biological molecules.
Sequence comparison, prediction of protein srtucture and function. Protein/protein interaction analysis.
Providing familiarity with bioinformatic tools.the use of bioinformatic in research. databases and webservers. Experience in different analysis during class exercise

Course/Module aims:
The goal of the course is to introduce basic concepts in bioinformatics and to use bioinformatics tools that are available on the web. The course will focus on sequence analysis, structure prediction and protein interactions.

Learning outcomes - On successful completion of this module, students should be able to:
On successful completion of this module, the students should be able to run BLAST for sequence searches, use sequence alignments tools and explain the meaning of phylogenetic trees. The students will know how to visualize and carry out basic analysis of 3D structures of protein. The students should be able to suggest suitable bioinformatics tools to representative biological questions.

Attendance requirements(%):
100% attendance of tutorials

Teaching arrangement and method of instruction: lectures and tutorials

Course/Module Content:
Introduction
Database Searches
Sequence search, pairwise alignment
Pairwise sequence alignment
Multiple sequence alignments
Motif searches
Regular expressions
PSSM
Phylogenetic trees
Primary, secondary, 3D structure
Levinthal paradox, protein folding
Protein structure determination (NMR, Xray)
PDB databank of structures, folds
Protein Structure prediction competition(CASP(
Homology modeling
Protein-protein interactions (physical and co-expression maps, network)
Protein/protein docking methods
Docking, protein-protein, protein-small molecules

Required Reading:
Papers that appear in the Moodle site of the course

Additional Reading Material:
Appears in Moodle

Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 10 %
Project work 10 %
Assignments 10 %
Reports 0 %
Research project 50 %
Quizzes 20 %
Other 0 %

Additional information:
 
Students needing academic accommodations based on a disability should contact the Center for Diagnosis and Support of Students with Learning Disabilities, or the Office for Students with Disabilities, as early as possible, to discuss and coordinate accommodations, based on relevant documentation.
For further information, please visit the site of the Dean of Students Office.
Print