IRC Advanced CADD Course

By Akib Hasan Uncategorized
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IRC Advanced CADD Course

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. Structural Databases and Preparation

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

3. Molecular Docking

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

4. Result Analysis & ADMET

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

5. Molecular Dynamics Simulation (MDS)

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

āĻŦāĻžāĻ‚āϞāĻžāĻĻ⧇āĻļ⧇āϰ āϞāĻžāχāĻĢ āϏāĻžāϝāĻŧ⧇āĻ¨ā§āϏ āĻļāĻŋāĻ•ā§āώāĻžāĻ°ā§āĻĨā§€āĻĻ⧇āϰ āϜāĻ¨ā§āϝ IRC Advanced CADD Course – āĻāĻ•āϟāĻŋ āϏāĻŽā§āĻĒā§‚āĻ°ā§āĻŖ āĻĒā§āĻ°ā§āϝāĻžāĻ•āϟāĻŋāĻ•ā§āϝāĻžāϞ āĻ“ āϰāĻŋāϏāĻžāĻ°ā§āϚ-āĻ­āĻŋāĻ¤ā§āϤāĻŋāĻ• āĻĒā§āϰ⧋āĻ—ā§āϰāĻžāĻŽ, āϝ⧇āĻ–āĻžāύ⧇ āĻ…āĻ‚āĻļāĻ—ā§āϰāĻšāĻŖāĻ•āĻžāϰ⧀āϰāĻž āφāϧ⧁āύāĻŋāĻ• drug discovery, molecular docking āĻāĻŦāĻ‚ bioinformatics-āĻāϰ āϗ⧁āϰ⧁āĻ¤ā§āĻŦāĻĒā§‚āĻ°ā§āĻŖ āĻ¸ā§āĻ•āĻŋāϞāϏāĻŽā§‚āĻš āĻšāĻžāϤ⧇-āĻ•āϞāĻŽā§‡ āĻļāĻŋāĻ–āϤ⧇ āĻĒāĻžāϰāĻŦ⧇āύāĨ¤

Innovative Research Center (IRC) āύāĻŋā§Ÿā§‡ āĻāϏ⧇āϛ⧇ āĻāĻ• āĻŽāĻžāϏ⧇āϰ Advanced CADD Program — āϝ⧇āĻ–āĻžāύ⧇ āφāĻĒāύāĻŋ āĻļāĻŋāĻ–āĻŦ⧇āύ āĻŦ⧇āϏāĻŋāĻ• āĻĨ⧇āϕ⧇ āĻ…ā§āϝāĻžāĻĄāĻ­āĻžāĻ¨ā§āϏ CADD, āϏāĻŽā§āĻĒā§‚āĻ°ā§āĻŖ āĻšāĻžāϤ⧇-āĻ•āϞāĻŽā§‡āĨ¤

āϕ⧋āĻ°ā§āϏ⧇ āϝāĻž āĻĨāĻžāĻ•āϛ⧇

1. Introduction to Bioinformatics & CADD

2. Structural Database & Preparation

3. Molecular Docking

4. Result Analysis & ADMET

5. Molecular Dynamics Simulation (MDS)

6. 4months paper class with publication

āφāĻĒāύāĻŋ āϝāĻž āϝāĻž āĻĒāĻžāĻšā§āϛ⧇āύ:

> āĻāĻ• āĻŽāĻžāϏ⧇āϰ āχāύāĻŸā§‡āύāϏāĻŋāĻ­ āϕ⧋āĻ°ā§āϏ

> āĻĒā§āϰāĻŋāĻŽāĻŋāϝāĻŧāĻžāĻŽ āϏāĻĢāϟāĻ“āϝāĻŧā§āϝāĻžāϰ āĻ“ āϟ⧁āϞāϏ āĻŦā§āϝāĻŦāĻšāĻžāϰ⧇āϰ āĻŸā§āϰ⧇āχāύāĻŋāĻ‚

> āĻ•ā§āϞāĻžāϏ āϰ⧇āĻ•āĻ°ā§āĻĄāĻŋāĻ‚ āĻ…ā§āϝāĻžāĻ•ā§āϏ⧇āϏ

> āϏāĻŋāϞ⧇āĻ•ā§āĻŸā§‡āĻĄ āĻļāĻŋāĻ•ā§āώāĻžāĻ°ā§āĻĨā§€āĻĻ⧇āϰ āϜāĻ¨ā§āϝ āϰāĻŋāϏāĻžāĻ°ā§āϚ āĻĒ⧇āĻĒāĻžāϰ . …….. āĻĒāĻžāĻŦāϞāĻŋāϕ⧇āĻļāύ āϏ⧁āϝ⧋āĻ— (Q1/Q2 āĻ¸ā§āĻŸā§āϝāĻžāĻ¨ā§āĻĄāĻžāĻ°ā§āĻĄ)

> āĻ…āĻĢāĻŋāϏāĻŋāϝāĻŧāĻžāϞ āϏāĻžāĻ°ā§āϟāĻŋāĻĢāĻŋāϕ⧇āϟ (āχāĻ¨ā§āϟāĻžāϰāĻ¨ā§āϝāĻžāĻļāύāĻžāϞ āϰāĻŋāĻ•āĻ—āύāĻŋāĻļāύ)

“ āĻĒā§āϰāϤāĻŋ āϏāĻĒā§āϤāĻžāĻšā§‡ āĻļ⧁āϧ⧁ āĻļ⧁āĻ•ā§āϰāĻŦāĻžāϰ⧇ āĻāĻ•āϟāĻŋ āĻ•āϰ⧇ āĻ…āύāϞāĻžāχāύ āĻ•ā§āϞāĻžāϏ – āϤāĻžāχ āĻĒāĻĄāĻŧāĻžāĻļā§‹āύāĻžāϰ āĻĒāĻžāĻļāĻžāĻĒāĻžāĻļāĻŋ āϏāĻšāĻœā§‡āχ āĻāχ āϕ⧋āĻ°ā§āϏāϟāĻŋ āĻ•āϰāĻž āϝāĻžāĻŦ⧇āĨ¤ āĻ•āĻžāϰāĻž āϕ⧋āĻ°ā§āϏ⧇ āϝ⧋āĻ— āĻĻāĻŋāϤ⧇ āĻĒāĻžāϰāĻŦ⧇āύ??

 
Pharmacy, Biotech, MBBS, BDS, Microbiology, Genetics, Biochemistry, Food & Nutrition, Environmental Science, Agriculture, Botany, Marine Science āϏāĻš āϏāĻ•āϞ āϞāĻžāχāĻĢ āϏāĻžāϝāĻŧ⧇āĻ¨ā§āϏ āĻŦāĻŋāĻ­āĻžāϗ⧇āϰ āĻļāĻŋāĻ•ā§āώāĻžāĻ°ā§āĻĨā§€āϰāĻž āĻ“ āĻĒā§āϰāĻĢ⧇āĻļāύāĻžāϞāϰāĻžāĨ¤
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Course Content

Day 1: Foundations of AI in Research

  • What is AI? Overview of key concepts
  • AI vs Machine Learning vs Deep Learning
  • Applications of AI in academic and scientific research
  • Tools & platforms: Python, Jupyter, Google Colab
  • Ethics and limitations of AI in scientific domains

Day 2: Natural Language Processing (NLP) for Literature & Data Mining

Day 3: AI for Data Analysis & Prediction

Day 4: Generative AI & Research Automation

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Company Information

Registered Company Name:

Innovative Research Center

Trade License Number:

TRAD/DNCC/047184/2024

TIN Number:

380164652827