Understand cancer at the molecular level — and how we target it.
Molecular Basis of Cancer: Therapeutics and Targets explains what actually goes wrong in a cancer cell and how that understanding becomes treatment. You study the molecular drivers — oncogenes, tumour-suppressor genes and dysregulated signalling pathways — and the hallmarks of cancer that unify them. The course then connects biology to therapy: how targeted drugs exploit specific molecular vulnerabilities, how resistance emerges, and how modern approaches including immunotherapy fit in. Grounded in real examples, it builds a mechanism-to-treatment understanding. You finish able to connect a cancer’s molecular biology to its therapeutic targets. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
This course covers the molecular basis of cancer — oncogenes, tumour suppressors, signalling and the hallmarks of cancer — and how these drive targeted and modern therapies.
1. Explain oncogenes, tumour suppressors and signalling.
2. Describe the hallmarks of cancer.
3. Connect molecular drivers to targeted therapies.
4. Understand mechanisms of drug resistance.
5. Place immunotherapy in the therapeutic landscape.
• Cancer-biology and biomedical researchers
• Oncology and pharma professionals
• Life-science students
• Anyone studying cancer therapeutics
• A mechanism-to-treatment understanding of cancer.
• The ability to connect biology to targets.
• A foundation for cancer research.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
Analyze the molecular mechanisms underlying cancer development and progression • Develop a comprehensive understanding of the core biological principles governing cancer therapeutics and targets • Evaluate the current state of cancer research and its implications for therapeutic development
Configure and optimize laboratory equipment for cancer research applications • Design and implement effective experimental protocols for data collection and analysis • Conduct and troubleshoot common laboratory techniques used in cancer research
Apply bioinformatics tools and databases to analyze and interpret cancer genomic data • Develop and implement computational models to simulate cancer biology and therapeutic responses • Integrate and analyze multi-omics data to identify cancer therapeutic targets
Design and develop rigorous experimental designs for cancer research studies • Evaluate and select appropriate statistical methods for data analysis and interpretation • Develop and implement effective strategies for data visualization and communication
Investigate and apply cutting-edge cancer therapeutic strategies, including immunotherapy and targeted therapy • Develop and evaluate novel cancer therapeutic targets using advanced bioinformatics and computational approaches • Translate cancer research findings into clinical applications and therapeutic development
Comply with regulatory requirements and guidelines for cancer research and therapeutic development • Evaluate and address bioethical considerations in cancer research and therapeutic applications • Develop and implement effective safety protocols for laboratory and clinical settings
Analyze and apply cancer research and therapeutic development principles in industry settings • Develop and evaluate career pathways and professional development strategies in cancer research and therapeutics • Investigate and present case studies of successful cancer therapeutic development and commercialization
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | Bioconductor |
| Covered Tool / Platform | Genomics Toolbox |
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