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
Protein Structure Prediction Using MODELLER teaches the practical craft of homology modelling with a leading tool. You learn how to predict a protein’s 3D structure from its sequence by using known related structures as templates — identifying templates, building an alignment, generating models in MODELLER, and assessing model quality. The course connects the workflow to real uses in structural biology and drug discovery when experimental structures are unavailable. You finish able to build and evaluate a homology model in MODELLER. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course covers protein structure prediction using MODELLER — building homology models of proteins from sequence when no experimental structure exists.
📋 Course Objectives
1. Explain homology-modelling principles.
2. Identify suitable structural templates.
3. Build sequence-structure alignments.
4. Generate models in MODELLER.
5. Assess and refine model quality.
👥 Who Should Enroll?
• Structural and computational biologists
• Bioinformatics researchers
• Drug-discovery scientists
• Students of protein modelling
🚀 Key Learning Outcomes
• The ability to build homology models.
• A structure-prediction workflow.
• A structural-bioinformatics foundation.
• 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 Protein Structure Prediction Using Modeller From Sequence To Validated 3D Model and Core Biological Principles
Implement 3d protein structure training with bioinformatics structure prediction course for practical foundations of protein structure prediction using modeller from sequence to validated 3d model and core biological principles applications and outcomes. • Design comparative modeling using modeller with computational biology training for practical foundations of protein structure prediction using modeller from sequence to validated 3d model and core biological principles applications and outcomes. • Analyze model validation and assessment with protein bioinformatics workshop for practical foundations of protein structure prediction using modeller from sequence to validated 3d model and core biological principles applications and outcomes.
Laboratory Techniques, Protocols, and Data Collection
Implement 3d protein structure training with bioinformatics structure prediction course for practical laboratory techniques, protocols, and data collection applications and outcomes. • Design comparative modeling using modeller with computational biology training for practical laboratory techniques, protocols, and data collection applications and outcomes. • Analyze model validation and assessment with protein bioinformatics workshop for practical laboratory techniques, protocols, and data collection applications and outcomes.
Bioinformatics Tools and Computational Analysis
Implement 3d protein structure training with bioinformatics structure prediction course for practical bioinformatics tools and computational analysis applications and outcomes. • Design comparative modeling using modeller with computational biology training for practical bioinformatics tools and computational analysis applications and outcomes. • Analyze model validation and assessment with protein bioinformatics workshop for practical bioinformatics tools and computational analysis applications and outcomes.
Research Methodology and Experimental Design
Implement 3d protein structure training with bioinformatics structure prediction course for practical research methodology and experimental design applications and outcomes. • Design comparative modeling using modeller with computational biology training for practical research methodology and experimental design applications and outcomes. • Analyze model validation and assessment with protein bioinformatics workshop for practical research methodology and experimental design applications and outcomes.
Advanced Protein Structure Prediction Using Modeller From Sequence To Validated 3D Model Applications and Translational Research
Implement 3d protein structure training with bioinformatics structure prediction course for practical advanced protein structure prediction using modeller from sequence to validated 3d model applications and translational research applications and outcomes. • Design comparative modeling using modeller with computational biology training for practical advanced protein structure prediction using modeller from sequence to validated 3d model applications and translational research applications and outcomes. • Analyze model validation and assessment with protein bioinformatics workshop for practical advanced protein structure prediction using modeller from sequence to validated 3d model applications and translational research applications and outcomes.
Regulatory Compliance, Bioethics, and Safety Standards
Implement 3d protein structure training with bioinformatics structure prediction course for practical regulatory compliance, bioethics, and safety standards applications and outcomes. • Design comparative modeling using modeller with computational biology training for practical regulatory compliance, bioethics, and safety standards applications and outcomes. • Analyze model validation and assessment with protein bioinformatics workshop for practical regulatory compliance, bioethics, and safety standards applications and outcomes.
Industry Applications, Career Pathways, and Case Studies
Implement 3d protein structure training with bioinformatics structure prediction course for practical industry applications, career pathways, and case studies applications and outcomes. • Design comparative modeling using modeller with computational biology training for practical industry applications, career pathways, and case studies applications and outcomes. • Analyze model validation and assessment with protein bioinformatics workshop for practical industry applications, career pathways, and case studies applications and outcomes.
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | d protein structure training |
| Covered Tool / Platform | bioinformatics structure prediction course |
| Covered Tool / Platform | comparative modeling using modeller |
| Covered Tool / Platform | computational biology training |
| Covered Tool / Platform | protein bioinformatics workshop |
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