IRC Advanced Internship Programme

IRC Advanced Internship Programme (Bioinformatics + CADD + Research + Python + Graphical Abstract + Higher Study Guidelines + Publication)

Modules (Bioinformatics & CADD Focused)

1. Introduction to Bioinformatics and CADD

Overview of Bioinformatics What is Computer-Aided Drug Design (CADD)? Importance of computational tools in modern drug discovery Real-life applications in pharmaceutical research

2. Scientific Research Fundamentals

What is scientific research? Types of research (basic vs applied, qualitative vs quantitative) Hypothesis formulation, experimental design Literature review techniques

3. Biomolecular Foundations

Structure and function of DNA, RNA, and proteins Central dogma of molecular biology Introduction to enzymes and receptors Protein folding and its importance in drug discovery

4. Structural Databases and Preparation

Introduction to PDB, UniProt, PubChem, ChEMBL How to retrieve and prepare biomolecules Ligand and receptor preparation for docking Tools: PyMOL, AutoDock Tools

5. Molecular Docking

Concept of molecular docking and its significance Types of docking (rigid/flexible) Docking workflow: ligand-receptor interaction Tools: AutoDock Vina, PyRx

6. Pharmacokinetics and Toxicity

ADME properties (Absorption, Distribution, Metabolism, Excretion) Drug-likeness rules (Lipinski’s Rule of 5) Predicting toxicity and side effects Tools: SwissADME, pkCSM, ProTox

7. Molecular Dynamics Simulation (MDS)

What is MDS and why is it important? Force fields and simulation parameters Solvation, energy minimization, and equilibration Tools: GROMACS

8. MDS Analysis and Interpretation

Root Mean Square Deviation (RMSD) Root Mean Square Fluctuation (RMSF) Radius of Gyration (Rg), H-bonds Visualizing trajectories using VMD or PyMOL

9. Quantum Chemical Calculations

Basics of quantum mechanics in chemistry HOMO-LUMO, molecular orbitals, dipole moment Tools: Gaussian, Avogadro

10. Research Project Design

Choosing a suitable research topic Project planning and timeline management Writing objectives, methodology, expected outcomes Collaboration and publication ethics

11. Referencing Tools

Importance of referencing in research How to cite sources properly (APA, MLA, etc.) Tools: Mendeley, Zotero Organizing and sharing reference libraries 12. Introduction to Python

What is Python and why use it in research? Basic syntax, variables, data types Conditional statements, loops, functions Running scripts in Jupyter Notebook 13. Python for Data Science

Introduction to NumPy and Pandas Data visualization with Matplotlib and Seaborn Bioinformatics libraries (Biopython, RDKit basics) Data cleaning and analysis techniques

14. Graphical Abstract Design

What is a graphical abstract? Importance in scientific communication Tools: BioRender, Canva, Adobe Illustrator basics Tips for designing effective visuals

15. Guideline for Writing CV, SOP, LOR

How to write a professional academic CV Writing an impactful Statement of Purpose (SOP) Requesting and structuring Letters of Recommendation (LOR) Common mistakes to avoid and expert tips

✅ Note for Students:
Each module is designed to help you gain hands-on experience and theoretical knowledge essential for careers in computational biology, bioinformatics, and drug discovery research. By the end of the internship, you’ll be equipped to start your own research project or contribute to ongoing studies.

আপনি যদি Life Science এর Student হয়ে থাকেন এবং Research Career নিয়ে সিরিয়াস, তবে এই প্রোগ্রামটা আপনার জন্যই তৈরি করা হয়েছে। এটা শুধু একটা কোর্স না— এটা একটি complete research skill development journey যেখানে আপনি basic থেকে শুরু করে step-by-step real research level পর্যন্ত পৌঁছাবেন।

এই প্রোগ্রামে আপনি যা শিখবেন:

Bioinformatics & CADD (Drug Design)

Molecular Docking, ADMET, MDS

Research Methodology & Project Design

Python for Data Science

Graphical Abstract Design

Professional Writing (CV, SOP, LOR)

আপনি যা পাচ্ছেন:

১৫টি structured live class Complete hands-on training Real research project guidance Expert mentorship Publication support Certificate of completion

কারা জয়েন করতে পারবেন? Pharmacy, Biotech, Microbiology, Genetics, Biochemistry, MBBS, BDS, Agriculture সহ সকল Life Science background-এর students & professionals