| Course Name | Clinical Biochemistry and Proteomics |
| Course Code | 24MMD512 |
| Program | M. Sc. Molecular Medicine(MLM) |
| Semester | 2 |
| Credits | 3 |
| Campus | Kochi |
The course intends to provide a basic understanding of the biochemical reactions; role of macromolecules and enzymes that govern the biochemical transformations and biochemical mechanisms responsible for common biochemical disorders; mass-spectrometry based proteomics for protein identification and quantitation, application of proteomics in the clinics for aiding in diagnosis, prognosis and treatment of diseases.
Biochemical mechanisms leading to generation of essential biological molecules for cellular architecture generation and preservation for maintaining cellular physiology. Significance of carbohydrate and fatty acid metabolism in this process. Glycolysis; TCA cycle, Oxidative Phosphorylation – Energetics and its regulation; Pentose phosphate Pathway; Glycogen Metabolism; Gluconeogenesis pathway and significance; Biosynthesis of fatty acids; Oxidation of fatty acids – Beta oxidation, alpha oxidation
Structures & function of enzymes, mechanism of action of enzymes and its regulation; Kinetics of enzyme catalyzed reactions, Michaelis-Menten equation, Importance of Vmax, Km; Enzyme inhibition and activation.
Concept and scope of clinical biochemistry in the context of cancer. Control of the blood glucose and associated clinical diseases in the context of diabetes.
Proteome and proteomics research, how it is different from genomics; different types of proteomics, significance of sample preparation in proteomics, significance of choosing different methods for proteome analysis, gel-free and gel-based proteome analysis, labelled and label-free quantitative proteomics
Mass spectrometry and its significance in modern science and medicine. Principles of mass spectrometry; protein identification using mass spectrometry, protein fragmentation; peptide enrichment and separation; ionization and its importance; Time of Flight, MS/MS analysis, types of mass analyzers, peptide fragmentation and peptide sequencing; identification of proteins using search engines/programs; accuracy of identified proteins with respect to protein identity, significance of mass spectrometry in clinics, clinical proteomics and examples of clinical proteomics
Pre-requisites: Basic understanding of biology, chemistry and biotechnology
Total number of classes: 45
Course Outcome
CO1: Understand overall concept of cellular metabolism, energy storage and release, enzymes and their regulation
CO2: Understand glucose homeostasis (pathways and hormonal regulation); glycogen metabolism, gluconeogenic pathway, fat metabolism.
CO3: Understand the basic concepts and principles of clinical biochemistry and molecular mechanism of some common biochemical disorders
CO4: Understand the basic concepts of proteome, mass spectrometry and protein identification using database search engines.
CO5: Discuss how proteomics can contribute to a clinical setting.
Programme Outcomes (PO)(As given by NBA and ABET)
PO1: Bioscience Knowledge
PO2: Problem Analysis
PO3: Design/Development of Solutions
PO4: Conduct Investigations of complex problems
PO5: Modern tools usage
PO6: Bioscientist and Society
PO7: Environment and Sustainability
PO8: Ethics
PO9: Individual & Team work
PO10: Communication
PO11: Project management & Finance
PO12: Lifelong learning
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | |
| CO1 | 3 | 1 | 1 | 1 | – | – | – | – | – | – | – | 1 |
| CO2 | 3 | 1 | 1 | – | – | – | – | – | – | – | – | 1 |
| CO3 | 3 | 2 | 1 | 2 | – | 2 | – | – | – | – | – | 1 |
| CO4 | 3 | 1 | 2 | 2 | 3 | – | – | – | – | – | – | 1 |
| CO5 | 3 | 1 | 2 | 3 | 3 | 2 | – | – | – | – | – | 1 |
Program Specific Outcomes. (PSO)
PSO 1 – Biochemical organization and cellular complexity in function
PSO 2 – Biomolecules in Medicine
PSO 3 – Molecular dysregulation in diseases
PSO 4 – Molecular technology in diagnosis and therapy
PSO 5 – Cell based approaches in diagnosis and therapy
PSO 6 – Microorganisms in Medicine
PSO 7 – Nanoscale entities and its significance in Medicine
PSO 8 – Tissue architecture engineering in Medicine
PSO 9 – Compounds as drugs and its efficacy
PSO 10 – Bioinformatics and biological data use
| PSO1 | PSO2 | PSO3 | PSO4 | PSO5 | PSO6 | PSO7 | PSO8 | PSO9 | PSO10 | |
| CO1 | 3 | 2 | 1 | – | – | – | – | – | – | – |
| CO2 | 3 | 2 | 1 | – | – | – | – | – | – | – |
| CO3 | 1 | 3 | 3 | 2 | 1 | – | – | – | – | – |
| CO4 | – | 1 | 1 | 3 | – | – | – | – | – | 3 |
| CO5 | – | 2 | 1 | 3 | – | – | – | – | – | 3 |
| Internal Assessment – 50% | ||
| Periodical 1 | Exam | 20% |
| Periodical 2 | Exam | 20% |
| Continuous Assessment | Assignment/Test/Quiz | 10% |
| 50% | ||
| End Semester Examination- 50% | ||
| Theory Exam | 50% | |
| 50% | ||
| Total | 100% |
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