Description

Take the next step in your scientific journey! Whether you're an aspiring researcher, a biotechnology enthusiast, a healthcare professional, or simply passionate about understanding the molecular foundations of life, this course is your gateway to mastering Advance Biochemistry. Explore the intricate world of metabolic pathways, enzyme kinetics, molecular interactions, and biochemical signaling. Strengthen your understanding of biomolecular structure, cellular metabolism, and regulatory mechanisms that drive biological processes. Enhance your analytical skills through biochemical techniques and modern research methodologies. Build a solid foundation for advancements in drug discovery, clinical biochemistry, metabolic engineering, and molecular medicine. This is your opportunity to elevate your expertise, contribute to scientific innovation, and make a meaningful impact in the ever-evolving fields of biochemistry and biotechnology!

With this course as your guide, you'll learn how to:

Understand the fundamental concepts and principles of advance biochemistry, including biomolecular structure, enzyme kinetics, and metabolic pathways.

Gain insights into key biochemical techniques such as chromatography, spectroscopy, enzyme assays, and molecular biology techniques used in biochemical research.

Explore applications of biochemistry in fields like drug discovery, metabolic engineering, clinical biochemistry, biotechnology, and molecular medicine.

Invest in your knowledge today and build a strong foundation for advanced studies, research, and innovation in biochemistry, biomedical sciences, and biotechnology.

The Frameworks of the Course

Engaging video lectures, case studies, assessments, downloadable resources, and interactive exercises form the foundation of this course. This course is designed to provide an in-depth understanding of advance biochemistry, covering its principles, methodologies, and real-world applications through comprehensive chapters and units.

You will be introduced to crucial biochemical techniques such as chromatography, spectroscopy, enzyme kinetics, and molecular biology techniques, equipping you with practical skills for biochemical analysis and biomedical research.

Key concepts explored include metabolism, proteomics, enzymology, and biochemical signaling, along with fundamental topics on lipid biochemistry, nucleic acid chemistry, and metabolic disorders.

By the end of this course, you will have strengthened your theoretical knowledge and practical applications in biochemistry, preparing you for advanced research, biomedical innovation, and applications in pharmaceutical, biotechnology, and healthcare industries.

In the first part of the course, you’ll learn about introduction, key areas and applications of Advance Biochemistry. You will learn about structures and functions of Biomolecules. You will learn the details about DNA replication, transcription and translation process.

In the middle part of the course, you’ll be able to learn about Enzymes, structure and functions of enzyme. You will also learn about Enzyme-Substrate Complex formation, Models of Enzyme-Substrate interaction and regulation of Enzyme activity. Gain knowledge about Metabolism, Metabolism pathways and regulation of Metabolism. You will understand about Biochemical pathways of Glycolysis, Krebs cycle, Electron transport chain and biochemical pathway of Cell Signaling.

In the final part of the course, you’ll know about various types of Biochemical Techniques. Gain knowledge on Biochemical Disorders, causes of Biochemical Disorders, their treatment and management.

Course Content:

Part 1

Introduction and Study Plan.

· Introduction and know your instructor

· Study Plan and Structure of the Course

Module 1: Introduction to Advance Biochemistry.

1.1. Introduction to Advance Biochemistry.

1.2. Key areas of Advance Biochemistry.

1.3. Applications of Biochemistry.

1.4. Conclusion.

Module 2: Biomolecules.

2.1 Introduction and Types of Biomolecules.

2.2 Carbohydrates.

2.3 Lipids.

2.4 Proteins.

2.5 Introduction to Nucleic acids.

2.6 Nucleic acids -DNA Structure.

2.7 Nucleic acids -RNA structure.

2.8 Conclusion.

Module 3: Molecular Biology and Biochemistry of Nucleic Acids.

3.1 DNA Replication Process.

3.2 Transcription Process.

3.3 Translation Process.

3.4 Conclusion.

Module 4: Enzymes.

4.1 Introduction to Enzymes.

4.2 Enzyme Structure.

4.3 Enzyme -Substrate Complex formation.

4.4 Models of Enzyme-Substrate interaction.

4.5 Enzyme Function.

4.6 Regulation of Enzyme Activity.

4.7 Examples of Enzymes in the Human Body.

4.8 Conclusion.

Module 5: Metabolism.

5.1 Introduction to Metabolism.

5.2 The metabolic pathways-Catabolism and Anabolism.

5.3 Key molecules and Coenzymes.

5.4 Regulation of Metabolism.

5.5 Conclusion.

Module 6: Biochemical Pathways.

6.1 Introduction to Biochemical Pathways.

6.2 Biochemical Pathway-Glycolysis.

6.3 Biochemical Pathway-Krebs Cycle (TCA Cycle).

6.4 Biochemical Pathway-Electron Transport Chain (ETC).

6.5 Biochemical Pathway-Cell Signaling.

6.6 Conclusion.

Module 7: Biochemical Techniques.

7.1 Introduction to Biochemical Techniques.

7.2 Spectroscopy Techniques-UV-Visible Spectroscopy.

7.3 Spectroscopy Techniques-Fluorescence Spectroscopy.

7.4 Spectroscopy Techniques-Nuclear Magnetic Resonance (NMR) Spectroscopy.

7.5 Spectroscopy Techniques-Mass Spectrometry (MS).

7.6 Chromatography Techniques -High Performance Liquid Chromatography (HPLC).

7.7 Chromatography Techniques -Gas Chromatography (GC).

7.8 Chromatography Techniques-Liquid Chromatography -Mass Spectrometry (LC-MS).

7.9 Electrophoresis Techniques -Polyacrylamide Gel Electrophoresis (PAGE).

7.10 Electrophoresis Techniques -Western Blotting.

7.11 Enzyme -Linked Techniques - Enzyme -Linked Immunosorbent Assay (ELISA).

7.12 Molecular Biology Techniques -Polymerase Chain Reaction (PCR).

7.13 Molecular Biology Techniques -Recombinant DNA Technology.

7.14 Molecular Biology Techniques -Crystallography Techniques (X-ray Crystallography).

7.15 Conclusion.

Module 8: Biochemical Disorders.

8.1 Introduction to Biochemical Disorders.

8.2 Understanding Biochemical Pathways and Their Associated Disorders.

8.3 Causes of Biochemical Disorders.

8.4 Effects and Symptoms.

8.5 Diagnosis and Screening.

8.6 Treatment and Management.

8.7 Conclusion.

Part 2

Assignments:

v Explain the role of ATP in cellular metabolism and describe its synthesis through oxidative phosphorylation. Compare and contrast glycolysis and Krebs cycle in terms of their functions and metabolic significance.

v Differentiate between the lock-and-key model and the induced fit model of enzyme action. Explain the role of allosteric regulation in metabolic pathways, using an example of a key enzyme.

v What are the key differences between ELISA and PCR in terms of methodology and biochemical applications? Compare and contrast gas chromatography (GC) and high-performance liquid chromatography (HPLC) in terms of principle, instrumentation, and application

Internship in Drug Discovery

This course provides an in-depth exploration of the analytical techniques used in drug discovery and medicinal chemistry. Students will learn how to use computational methods, big data, and machine learning to analyze drug candidates, predict drug behavior, optimize lead compounds, and assess their pharmacokinetics and pharmacodynamics. The course will blend theory with hands-on experience in using software tools for chemical and biological data analysis.

Learning Objectives:

· By the end of this course, students will be able to:

· Understand the fundamental principles of drug discovery and development processes.

· Apply computational methods and analytics to identify and optimize potential drug candidates.

· Use predictive modeling for drug-likeness, ADME-Tox, and structure-activity relationship (SAR) analysis.

· Analyze molecular dynamics, docking simulations, and chemical databases for drug discovery.

· Integrate bioinformatics and cheminformatics approaches to accelerate drug design

Drug Discovery and Medicinal Chemistry Analytics

· Molecular Property Prediction: Machine learning models are used to predict the properties of molecules, such as solubility, stability, and toxicity. This allows researchers to assess the potential of new drug candidates before they are synthesized, saving time and resources.

· Virtual Screening of Drug Compounds: Data science is used to virtually screen large libraries of compounds to identify those that may be effective against a biological target (such as a protein). This accelerates the drug discovery process by narrowing down the list of candidates for further experimental testing.

· QSAR (Quantitative Structure-Activity Relationship): QSAR models use data science to correlate chemical structure with biological activity. These models help predict how modifications to a chemical structure can enhance or diminish the desired therapeutic effect.