Module #1 Introduction to Bioinformatics Overview of bioinformatics, its applications, and importance in drug design and discovery
Module #2 Molecular Biology Fundamentals Review of molecular biology concepts, including DNA, RNA, proteins, and gene expression
Module #3 Bioinformatics Tools and Resources Introduction to popular bioinformatics tools, databases, and resources (e.g. NCBI, UniProt, PDB)
Module #4 Sequence Analysis Introduction to sequence analysis, including pairwise alignment, multiple sequence alignment, and sequence clustering
Module #5 Phylogenetic Analysis Introduction to phylogenetic analysis, including tree building methods and interpretation
Module #6 Structural Bioinformatics Introduction to structural bioinformatics, including protein structure visualization and analysis
Module #7 Protein Function Prediction Methods for predicting protein function from sequence and structure
Module #8 Genomics and Transcriptomics Introduction to genomics and transcriptomics, including RNA-seq and ChIP-seq data analysis
Module #9 Variant Analysis Introduction to variant analysis, including identification, annotation, and interpretation of genetic variants
Module #10 Pharmacogenomics The role of pharmacogenomics in personalized medicine and drug design
Module #11 Target Identification and Validation Bioinformatics approaches for identifying and validating drug targets
Module #12 Molecular Docking and Simulation Introduction to molecular docking and simulation techniques for drug design
Module #13 Virtual Screening Virtual screening approaches for identifying potential drug candidates
Module #14 QSAR and Cheminformatics Introduction to QSAR (quantitative structure-activity relationship) and cheminformatics
Module #15 Drug-Likeness and ADME Prediction Prediction of drug-likeness and ADME (absorption, distribution, metabolism, and excretion) properties
Module #16 Computational Methods for Drug Design Computational methods for de novo drug design and optimization
Module #17 Case Studies in Drug Design and Discovery Real-world examples of bioinformatics in drug design and discovery
Module #18 High-Performance Computing in Bioinformatics Introduction to high-performance computing in bioinformatics, including parallel processing and cloud computing
Module #19 Data Integration and Visualization Methods for integrating and visualizing large-scale bioinformatics data
Module #20 Machine Learning in Bioinformatics Introduction to machine learning approaches in bioinformatics, including deep learning and natural language processing
Module #21 Bioinformatics for Infectious Diseases Application of bioinformatics in infectious disease research and drug design
Module #22 Bioinformatics for Cancer Research Application of bioinformatics in cancer research and drug design
Module #23 Regulatory Aspects of Bioinformatics Regulatory considerations for bioinformatics in drug design and discovery
Module #24 Ethical Considerations in Bioinformatics Ethical considerations in bioinformatics, including data sharing and intellectual property
Module #25 Course Wrap-Up & Conclusion Planning next steps in Bioinformatics for Drug Design and Discovery career
