Programme Parameters
Graduate / Intermediate
4 Weeks (40 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Pharmacophore Modeling and Molecular Docking: Bridging the Gap combines two complementary drug-design methods. You learn to build a pharmacophore model — the spatial arrangement of features a molecule needs to be active — and to use it alongside molecular docking to screen and prioritise candidates. The course shows how pharmacophore and docking approaches complement each other, from virtual screening to lead optimisation. You finish able to run a combined pharmacophore-and-docking workflow. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course covers pharmacophore modelling and molecular docking — defining the essential features of active molecules and using them with docking to find and prioritise drug candidates.
📋 Course Objectives
1. Build a pharmacophore model of activity.
2. Screen libraries with pharmacophore search.
3. Perform molecular docking.
4. Combine pharmacophore and docking approaches.
5. Prioritise candidates for optimisation.
👥 Who Should Enroll?
• Medicinal and computational chemists
• Cheminformatics researchers
• Drug-discovery scientists
• Students of computational chemistry
🚀 Key Learning Outcomes
• The ability to run pharmacophore-plus-docking.
• A structure-based design perspective.
• A computational drug-design project.
• 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
Foundations of Pharmacophore Modeling and Molecular Docking
Analyze the fundamental principles of pharmacophore modeling and molecular docking, including ligand-receptor interactions and binding affinity • Develop a comprehensive understanding of the core biological principles underlying pharmacophore modeling, including protein structure and function • Evaluate the strengths and limitations of various pharmacophore modeling and molecular docking techniques, including their applications in drug discovery and development
Laboratory Techniques, Protocols, and Data Collection
Configure and optimize laboratory equipment and software for pharmacophore modeling and molecular docking experiments, including data collection and analysis • Design and implement experimental protocols for pharmacophore modeling and molecular docking, including ligand synthesis and purification • Conduct and troubleshoot laboratory experiments, including data collection and analysis, to generate high-quality data for pharmacophore modeling and molecular docking
Bioinformatics Tools and Computational Analysis
Implement bioinformatics tools and algorithms for pharmacophore modeling and molecular docking, including molecular dynamics simulations and free energy calculations • Analyze and interpret large datasets generated from pharmacophore modeling and molecular docking experiments, including data visualization and statistical analysis • Develop and apply computational models to predict ligand-receptor binding affinity and specificity, including machine learning and deep learning approaches
Research Methodology and Experimental Design
Design and develop research proposals for pharmacophore modeling and molecular docking projects, including hypothesis testing and experimental design • Evaluate and optimize experimental designs for pharmacophore modeling and molecular docking, including statistical analysis and data interpretation • Develop and implement robust research methodologies for pharmacophore modeling and molecular docking, including data quality control and assurance
Advanced Pharmacophore Modeling and Molecular Docking Applications
Apply advanced pharmacophore modeling and molecular docking techniques to real-world problems, including drug discovery and development • Develop and implement novel pharmacophore modeling and molecular docking approaches, including fragment-based drug design and protein-ligand binding affinity prediction • Evaluate and optimize pharmacophore modeling and molecular docking protocols for high-throughput screening and virtual screening applications
Regulatory Compliance, Bioethics, and Safety Standards
Evaluate and implement regulatory compliance and bioethics guidelines for pharmacophore modeling and molecular docking research, including human subject protection and animal welfare • Develop and implement safety standards and protocols for pharmacophore modeling and molecular docking laboratory experiments, including chemical and biological hazard handling • Analyze and mitigate potential risks and liabilities associated with pharmacophore modeling and molecular docking research, including intellectual property and data protection
Industry Applications, Career Pathways, and Case Studies
Analyze and evaluate industry applications of pharmacophore modeling and molecular docking, including pharmaceutical and biotechnology companies • Develop and implement career development strategies for pharmacophore modeling and molecular docking professionals, including job search and networking • Evaluate and discuss case studies of successful pharmacophore modeling and molecular docking applications, including drug discovery and development
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | AutoDock |
| Covered Tool / Platform | Glide |
| Covered Tool / Platform | MOE |
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