Page 44 - Handbook Bachelor Degree of Science Academic Session 20212022

Faculty of Science Handbook, Academic Session 2021/2022

SIJ 3011 POST-GENOMIC TECHNOLOGIES AND Assessment Methods:
BIOINFORMATICS Continuous Assessment: 50%
Final Examination: 50%
This course will introduce students to post-genomic era
technologies and how they are used in scientific research. Main References:
The course will focus on three main platforms – 1. Pecorino L. (2016). Molecular Biology of Cancer:
transcriptomics, proteomics and metabolomics. Students Mechanisms, Targets, and Therapeutics (4 edition).
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will be exposed to bioinformatics tools to allow them to Oxford University Press.
understand, analyse, integrate and correlate data from the 2. John E. Niederhuber, James O. Armitage, James H.
three platforms. The use of these technologies in studying
biological systems will also be explored. A brief introduction Doroshow, Michael B. Kastan, Joel E. Tepper. (2020).
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to other post-genomic technologies (e.g. lipidomics, Abeloff's Clinical Oncology (6 edition). Philadelphia:
glycomics, etc) will also be included. Throughout the Elsevier.
course, students will also be introduced to Bioinformatics in 3. Y.W. Francis Lam, Stuart A. Scott. (2019).
data analysis and management. Pharmacogenomics: Challenges and Opportunities in
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Therapeutic Implementation (2 edition). London:
Assessment Methods: Academic Press.
Continuous Assessment: 40%
Final Examination: 60%
Main References: SIJ 3017 GLYCOBIOLOGY
1. Scientific journal papers
2. Notes to be provided during lectures The first part of this course is the deliberation of glycan
3. Lovric J. (2016). Introducing Proteomics: From structures and the linkages between monosaccharides
concepts to sample separation, mass spectrometry units until the formation of functional glycans. Topics on
and data analysis glycan-binding proteins/lectins will also be coverd since
4. Gomase V. (2017). Transcriptomics: Expression these proteins is closely associate with the biological roles
Pattern Analysi.s of glycans. Abnormality of glycan structure will hinder the
5. Lammerhofer M. and Weckwerth W. (2018). interaction and consequently leads to disease formation.
Metabolomics in Practice: Successful Strategies to Lastly, students will be given samples of data for them to
Generate and Analyze Metabolic Data. carry out glycomic analysis by using ChemSketch and
online glycan database search engine.

SIJ 3013 NATURAL PRODUCT BIOCHEMISTRY AND Assessment Methods:
DRUG DISCOVERY Continuous Assessment: 50%
Final Examination: 50%
This course is designed to provide an overview to the field
of natural product and drug discovery. This course covers Main References:
the different types of natural product and their usages, 1. Varki et al. (2017). Essentials of Glycobiology. 3rd ed.
positive/negative effects of its usage, important classes of Cold Spring Harbor.
chemical compounds, mechanism of reaction, methods and https://www.ncbi.nlm.nih.gov/books/NBK310274/
suitable experimental techniques that can be applied to 2. https://www.expasy.org/glycomics
isolate and identify bioactive/lead compound. Drug 3. Chemical biology of glycoproteins / editors: Zhongping
discovery component will emphasis on how to bring a drug Tan, Lai-Xi Wang. 2017. ISBN: 9781782623823
from concept to market, introduction to drug approval 4. Campbell et al. (2018) Biochemistry. Chengage
process, clinical trials, drug safety guidelines, and ethical Learning. (QD415 Cam)
issues. Research and development that will lead to the
invention of potentially commercial product will also be
discussed using selected examples. SIJ 3018 COMPUTATIONAL BIOCHEMISTRY
Assessment Methods: This course describes the application of computational tools
Continuous Assessment: 40% to analyze biological problems. Students will be exposed to
Final Examination: 60% the analysis of big data including enzyme kinetics
simulation using COPASI, transcriptomics analysis
Main References: (microarray and RNA-seq using R and Linux), genomics
1. Drug Discovery and Evaluation: Pharmacological analysis (genotyping microarray using R and Linux),
Assays, 4 ed, edited by Hock FJ (2016); Springer biomolecular modelling (using FORTRAN) and metabolic
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International Publication. network analysis (using R). At the end of the course,
2. Swamy MK, Patra JK, Rudramurthy GR. (2019). students will be able to use programming tools and
Medicinal Plants: Chemistry, Pharmacology, and analytical approach to analyze various omics data.
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Therapeutic Applications 1 ed; CRC Press
3. Samuelsson G, Bohlin L. (2017). Drugs of Natural Assessment Methods:
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Origin: A Treatise of Pharmacognosy, 7 Edition. Continuous Assessment: 60%
Swedish Pharmaceutical Press. Final Examination: 40%
Main References:
SIJ 3016 BIOCHEMISTRY OF CANCER 1. Lesk AM. (2019). Introduction to Bioinformatics. 5th
Edition. Oxford University Press.
This course will cover the origins of cancer and the genetic 2. Chapman SJ. (2017). Fortran for Scientists and
and cellular basis for cancer. It will examine the factors that Engineers, 4th edition, McGraw-Hill Higher Education.
have been implicated in triggering cancers; the intercellular 3. Pevsner J. (2015). Bioinformatics and Functional
interactions involved in cancer proliferation; current Genomics. 3 edition. John Wiley & Sons.
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treatments for cancer and how these are designed; and
future research and treatment directions for cancer therapy.

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