Course Live All Levels EIMT

Computational Drug Discovery: A Practical Research Approach (duration 6 months)

Bridge chemical intuition with deep learning to accelerate therapeutic innovation.

  • 5.0/5
  • English
  • Updated Oct 2026
INR

₹100000

USD

$1300

$1500 13% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

Computational Drug Discovery: A Practical Research Approach (duration 6 months)

About this course

The Computational Drug Discovery: A Practical Research Approach (6 Months) at Dr. Omics Edu is a 6-month live, mentor-led online course in computer-aided drug design (CADD). It takes a practical, research-first approach to computational drug discovery over six months. You learn on real biological data and finish with a drug design analysis on a real target that you can show to an employer, a guide or an admissions panel.
In this course you move through drug discovery pipeline and target identification, protein and ligand preparation and docking and virtual screening, then apply them in a hands-on project. The course runs live online across 1 module, so you can ask your mentor questions as you work. It is open to learners at every level, and the mentor adjusts the pace to your background.

What you will learn

• Drug discovery pipeline and target identification
• Protein and ligand preparation
• Docking and virtual screening
• ADMET filtering
• Molecular dynamics simulation basics
• Research report on a drug discovery question
CADD scientist, computational chemist, drug discovery research associate, and a strong profile for pharma R&D or higher studies.

Skills you will gain

PDB PubChem AutoDock Vina PyMOL SwissADME GROMACS
Certification

Available

Issued by EIMT

Course curriculum

1 module

  • Module 1: Basics of Bioinformatics & Introduction to CADD
  • Module 2: Linux, Cloud Computing and Its Application in CADD
  • Module 3: Python Programming for CADD
  • Module 4: R for Data Analysis in Drug Discovery
  • Module 5: Computer-Aided Drug Designing Techniques (Docking, QSAR, Pharmacophore Modeling)
  • Module 6: HR Session – Career Mentoring & Industry Preparedness
  • Module 7: Machine Learning in Drug Discovery
  • Final Project: Research Project in CADD (2-Month Guided Research with Report)

What you need to start

  • Basic understanding of Organic Chemistry and Molecular Biology.
  • Familiarity with computer operations (Windows/Linux).
  • Recommended: Introductory knowledge of Python (though basics will be covered).

Who this course is for

  • B.Pharm, M.Pharm, B.Sc, M.Sc, B.Tech, M.Tech and PhD students in pharmacy, chemistry, biotechnology or life sciences.
INR

₹100000

USD

$1300

$1500 13% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

Active batch
Open for enrolment
16112026 - Computational Drug Discovery: A Practical Research Approach (duration 6 months)
  • Starts 16 Nov 2026
  • Ends 25 Nov 2026
  • Timing 8:00 PM – 9:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform Google Meet
This course includes
  • Format Live
  • Level All Levels
  • Language English
  • Modules 1
  • Certificate Yes
  • Provider EIMT
  • Upon successful completion of all modules and the final research project
  • participants will be awarded a Professional Certificate in Computational Drug Discovery & AI
  • validating their expertise in modern drug design methodologies.
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