Computational Biology Curriculum
Master the fundamental theories and concepts behind the projects.
1. Molecular Biology
DNA replication, transcription, translation, and gene regulation.
2. Genetics
Mendelian genetics, population genetics, and genomics.
3. Biochemistry
Protein structure, enzyme kinetics, and metabolic pathways.
4. Cell Biology
Cell structure, signaling, division, and differentiation.
5. Bioinformatics
Sequence alignment, structural prediction, and genomic data analysis.
6. Genetic Engineering
CRISPR, recombinant DNA, and synthetic biology.
7. Bioprocess Engineering
Fermentation, bioreactors, and downstream processing.
8. Immunology
Immune system function, antibodies, and vaccine development.
9. Advanced Genetic Engineering Technologies
CRISPR-Cas systems and variants (Cas12, Cas13, base editors, prime editors), gene drives and applications, multiplexed genome engineering, epigenome editing (CRISPRa/i, dCas systems), in vivo gene therapy delivery methods.
10. Structural Biology & Drug Design
X-ray crystallography and cryo-electron microscopy techniques, protein folding and design, molecular docking and virtual screening, structure-based drug design, GPCR and ion channel targeting.
11. Systems Biology & Omics Technologies
Genomics, transcriptomics, proteomics, metabolomics, multi-omics integration and analysis, systems modeling and network analysis, single-cell sequencing technologies, spatial transcriptomics and proteomics.
12. Computational Biology & AI in Biotech
Machine learning algorithms for biological data analysis, deep learning in genomics and proteomics, systems modeling and simulation, network analysis and pathway reconstruction, drug discovery and design using AI.
13. Computational Genomics & Bioinformatics
Sequence analysis algorithms, phylogenetic analysis, comparative genomics, population genetics analysis, genome assembly and annotation, functional genomics data analysis.
14. Synthetic Biology & Metabolic Engineering
Design and construction of synthetic biological systems, metabolic pathway engineering, biosynthesis of pharmaceuticals and chemicals, synthetic gene circuits and biological computation.
15. Biotechnology Ethics & Regulations
Ethical considerations in genetic engineering, regulatory frameworks for biotechnology products, biosafety guidelines, intellectual property in biotechnology, public perception and policy implications.