Programme Parameters
Foundation
3 Days (4.5 Hrs)
Online (e-LMS)
• No prior experience required — basic computer literacy is sufficient.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
This course integrates genomic data analysis and computational drug discovery workflows to guide participants through essential steps like target identification, molecular docking, and drug optimization. Across 4 Weeks, you will build practical fluency in essential steps like target identification and molecular docking, then consolidate everything in a capstone project. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course integrates genomic data analysis and computational drug discovery workflows to guide participants through essential steps like target identification, molecular docking, and drug optimization.
📋 Course Objectives
1. Develop hands-on skill in essential steps like target identification.
2. Master the fundamentals of molecular docking.
3. Apply biotechnology methods to authentic research and industry problems.
4. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
• Data and computational scientists moving into essential steps like target identification
🚀 Key Learning Outcomes
• Confidence to apply essential steps like target identification in real projects.
• Confidence to implement molecular docking in real projects.
• Tangible, reproducible biotechnology work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Target Identification and Validation
• Genomic evidence for target selection, including human genetic support
• Expression, essentiality and dependency screens such as DepMap
• Tractability and the difference between a target and a druggable target
Genomics of Response
• Variant interpretation relevant to drug response and resistance
• Pharmacogenomic markers and their clinical implementation
• Population differences and their consequence for global development
Virtual Screening Pipelines
• Library preparation, filtering and property-based triage
• Docking at scale and rescoring strategies
• Hit triage combining computational and experimental evidence
Multi-Omic Evidence for Programmes
• Transcriptomic and proteomic signatures of mechanism
• Connectivity mapping and drug repurposing signals
• Biomarker hypotheses and their prospective testing
Running the Computational Workflow
• Pipeline reproducibility across compute environments
• Documenting decisions so a programme can be audited later
• Communicating computational evidence to medicinal chemists and biologists
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | AutoDock Vina |
| Covered Tool / Platform | PyRx |
| Covered Tool / Platform | Schrödinger Suite |
| Covered Tool / Platform | GROMACS |
| Covered Tool / Platform | ChemDraw |
| Covered Tool / Platform | Discovery Studio |
| Covered Tool / Platform | ADMET Predictor |
Frequently Asked Questions
Scholar Feedback & Reviews
Based on 0 scholar submissions
Rating Breakdown
No verified reviews published yet. Be the first to share your academic experience.
Leave Scholar Feedback
Your rating will help prospective scholars. Ratings below 3 stars are routed privately to the faculty mentor for immediate response.
