COCS 436
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Course number:
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COCS 436
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Name :
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Molecular biology and Genetics
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2
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Credits:
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3
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Contact hours:
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42 Hrs Lecture
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3
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Course coordinator’s name:
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Dr. Syed Asif Hassan
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4
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Textbook:
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Eldon John Gardner, Michael J. Simmons, D. Peter Snustad. Principles of Genetics, 8th Edition. Publisher: John Wiley & Sons Inc. 1983. ISBN: 8126510439.
Leach Andrew R., Valerie J. Gillet. An introduction to chemoinformatics. Publisher: Kluwer academic, 2003. ISBN: 1402013477.
Brown, T.A., Genomes, third edition Garland Science publishers, 2006. ISBN: 1859960294.
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a
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Other references:
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Gerald Karp, Cell and Molecular Biology: Concepts and Experiments, Wiley, 6th edition, 2009, ISBN-13: 978-0471465805
Falciani Francesco. Microarray Technology through Applications. Publisher: New York, Taylor & Francis. 2007. ISBN: 9780415378536
Todd A. Swanson, Sandra I. Kim, and Marc J. Glucksman, BRS Biochemistry, Molecular Biology, and Genetics, (Board Review Series), Lippincott Williams & Wilkins, fifth edition, 2009, ISBN-10:0781798752.
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5
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a)
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Synopsis:
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This course concerns about principles of structure and function of cells, membranes, and organelles, quantitative traits and mutations. The levels of structural organization of macromolecules and experimental methods of structure determination and know the approaches for structure analysis. Use metabolic pathway databases and associated tools and use advanced methodologies to model pathways. Knowledge to implement and apply various advanced mathematical, physical and statistical techniques for analysis of biological data.
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b)
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Prerequisites:
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COCS 433 – Introduction to Bioinformatics
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c)
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Type of course:
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CS group elective course
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6
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a)
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Course Learning Outcomes
Upon finishing this course, the students should be able to:
- Utilize current computational tools for studying gene regulatory network as well as protein-protein or protein-ligand interactions (1, 6).
- Understand and implement the computational tools for genome sequencing, population genetics and high throughput data & its analysis (1, 6).
- Understand and implement the algorithm related to gene expression analysis and docking based virtual screening of chemical compounds (6).
- Understand the application of computational principles and techniques in Chemoinformatics research (1, 6).
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b)
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Course Relationship to Key Student Outcomes
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Student Outcomes
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1
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2
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3
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4
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5
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6
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*
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*
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*
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.
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7
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Brief list of topics and their duration
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Number
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Description
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Duration in weeks
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1
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Central dogma of cell and tools for prediction of Post-translational modification.
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1
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2
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Theoretical genetic modeling
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1
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3
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Weight distribution algorithm
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1
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4
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DNA computational tools
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1
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5
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Genome comparisons and synteny analysis methodologies
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1
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6
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Exam 1
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7
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Genome sequencing methodologies and tools for assessing the quality of sequencing.
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1
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8
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Functional genomics and proteomics
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9
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Laws of inheritance /population genetics
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1
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10
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Gene expression analysis using Clustering and classification algorithms-Hierarchical Clustering
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1
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11
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Gene expression analysis using Clustering and classification algorithms-K-Means clustering (Non- Hierarchical Clustering)
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1
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12
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Exam 2
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1
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13
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Chemical Structure based Search techniques: Exact, Sub-structure and similar structure searches using USR or USRCAT software and Pharmacophore modeling,
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1
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14
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Docking studies based on Lamarckian algorithm, Screen non-specific or promiscuous ligand using structural filters software developed by Baell and Holloway
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1
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Final Exam
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8
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Class Schedule
Meet 60 minutes three times/week
Lab 120 minutes one time/week (if any)
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9
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Assessment Tools with Marks Distribution
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Assessment Type
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Percentage of Mark
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Assignment
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10 %
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Presentation
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10 %
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Quiz
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10 %
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Midterm Exam
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30 %
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Final Exam
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40 %
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Total
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100 %
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Last Update
9/9/2020 8:07:31 PM
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