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Syllabus ( BSB 685 )


   Basic information
Course title: Current Topics in Structural Bioinformatics
Course code: BSB 685
Lecturer: Assist. Prof. Onur SERÇİNOĞLU
ECTS credits: 7.5
GTU credits: 3 (3+0+0)
Year, Semester: 2, 2, Fall and Spring
Level of course: Third Cycle (Doctoral)
Type of course: Area Elective
Language of instruction: English
Mode of delivery: Face to face , Group study
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: This course is intended to enable students to learn the state-of-the-art computational methods used in structural bioinformatics research, including applications related to modeling of protein structures, simulations of protein dynamics, structure-based drug design and modeling of protein-protein interactions.
   Learning outcomes Up

Upon successful completion of this course, students will be able to:

  1. Acquire knowledge on sequence-structure-function relationships in proteins

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts in the field of Bioinformatics and Systems Biology

    Method of assessment

    1. Written exam
  2. Ability to understand the use of structural bioinformatics methods in protein dynamics simulations and drug design

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts in the field of Bioinformatics and Systems Biology
    2. Link the concepts belonging to the different disciplines and interpret & analyze scientific research in these disciplines.Question and find out innovative approaches
    3. Work effectively in multi-disciplinary research teams
    4. Learning Competence

    Method of assessment

    1. Written exam
    2. Seminar/presentation
  3. Ability of interprete and present example applications of the use of structural bioinformatics methods

    Contribution to Program Outcomes

    1. Link the concepts belonging to the different disciplines and interpret & analyze scientific research in these disciplines.Question and find out innovative approaches
    2. Acquire scientific knowledge and work independently
    3. Work effectively in multi-disciplinary research teams
    4. Communicate their research outcomes at seminars and conferences.
    5. Write progress reports clearly on the basis of published documents, thesis, etc

    Method of assessment

    1. Seminar/presentation
   Contents Up
Week 1: Introduction to Protein Structures
Week 2: Sequence, Structure, Function, and Motion Relationships in Proteins
Week 3: Experimental determination and computational Modeling of Protein Structures
Week 4: Simulation of Protein Dynamics: Classical Molecular Dynamics Simulations
Week 5: Structure-based Drug Design: Virtual Screening via Molecular Docking Simulations
Week 6: Modeling of Protein-Protein Interactions
Week 7: Modeling of Protein-Peptide Interactions
Mid-term Exam
Week 8: Machine Learning in Structural Bioinformatics
Week 9: Advanced Methods in Molecular Dynamics Simulations: Enhanced Sampling versus Pathway Finding Methods
Week 10: Molecular Dynamics in Drug Discovery
Week 11: Macromolecular Docking Simulations
Week 12: Pathogenicity Prediction using Protein Structure Data
Week 13: State-of-the-art in Protein Structure Prediction
Week 14: Student Presentations
Week 15*: -
Week 16*: Final Exam
Textbooks and materials: Introduction to Proteins: Structure, Function, and Motion, 2nd Ed., Amit Kessel & Nir Ben-Tal, CRC Press
Protein Structure and Function, G. A. Petsko & D. Ringe, 2003, Oxford University Press
Protein Actions: Principles and Modeling, I. Bahar & R. L. Jernigan, 2017, Gardland Science
Recommended readings: Drug Design: Structure- and Ligand-based Approaches, 1st Ed., 2010, K. M. Merz, D. Ringe, C. H. Reynolds, Cambridge University Press
  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 7 20
Other in-term studies: 0
Project: 14 50
Homework: 0
Quiz: 0
Final exam: 16 30
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 2 11
Own studies outside class: 6 6
Practice, Recitation: 0 0
Homework: 0 0
Term project: 12 6
Term project presentation: 4 1
Quiz: 0 0
Own study for mid-term exam: 4 6
Mid-term: 3 1
Personal studies for final exam: 4 5
Final exam: 4 1
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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