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Professional Certification

Drug Designing

Certified Information Systems Security Professional

  • Innovate Molecules. Target Disease. Transform Health.

Next Batch Starts 2025-05-28

Total Duration: 30 Hours Total Lesson: 4

Price: ₹4999

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Course Overview

This course introduces the process of modern drug discovery and design, from lead identification to virtual screening and molecular modeling. Learn how to apply both traditional and computational methods to identify potential drug candidates, supported by informatics tools and databases.

Mode: Online | Duration: 30 Hours | Credits: 2 | Level: Intermediate to Advanced

 

What You’ll Learn

By the end of this course, you will be able to:

  • Understand all key stages in drug discovery and development

  • Compare methods like traditional medicine-based screening, random screening, and serendipitous discovery

  • Apply analog-based drug design using bioisosterism techniques

  • Perform virtual screening using pharmacophore mapping and molecular docking

  • Differentiate between rigid and flexible docking methods

  • Explore bioinformatics and chemoinformatics tools for drug research

  • Understand energy minimization and conformational analysis in molecular modeling

  • Use ADME and pharmaceutical databases effectively

 

Course Curriculum

Topic

Hours

Drug Discovery & Analog-Based Drug Design

10

- Lead Discovery Methods, Bioisosterism

 

Virtual Screening & Molecular Docking Techniques

6

- Pharmacophore Mapping, Docking Approaches

 

Informatics Tools in Drug Design

7

- Bioinformatics, Chemoinformatics, ADME & Pharma Databases

 

Molecular Modeling & Conformational Analysis

7

- Molecular Mechanics, Energy Minimization

 

Total Duration

30 Hours

 

Hands-On Learning

  • Docking Simulations: Perform rigid and flexible docking exercises

  • Virtual Screening Labs: Map pharmacophores and filter compounds based on drug-likeness

  • Database Navigation Projects: Use bioinformatics tools to identify viable candidates

 

Assessment

Component

Marks

Online MCQ Exam

70

Assignment (Case Studies)

30

Total

100

 

 Who Should Enroll

This course is ideal for:

  • Students in pharmaceutical sciences, biotechnology, or chemistry

  • Professionals in drug discovery and clinical research

  • Aspiring computational chemists and molecular biologists

  • Researchers exploring informatics and AI applications in pharma

 

 Certification

Receive a Certificate of Completion from UniKaushal upon successfully completing the course and assessments.

 

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