Introduction to the Course

The Protein Structure Prediction Using MODELLER Course teaches how to predict and validate three-dimensional protein structures from amino acid sequences using homology modeling techniques. This course is designed for learners who want practical skills in protein modeling, structure validation, and bioinformatics workflows used in drug discovery, molecular biology, and life sciences research.\

Course Objectives

• Understand the principles of protein structure and homology modeling
• Learn how to use MODELLER for protein structure prediction
• Gain hands-on experience in sequence alignment and template selection
• Master protein model building and optimization techniques
• Explore structure validation and quality assessment methods
• Apply protein modeling workflows to real biological datasets

What Will You Learn (Modules)

Module 1: Introduction to Protein Structure and Bioinformatics

• Overview of protein structure levels: primary, secondary, tertiary, and quaternary

• Importance of protein structure in biological function and drug discovery

• Introduction to structural bioinformatics and homology modeling concepts

Module 2: Sequence Analysis and Template Selection

• Protein sequence retrieval and preprocessing

• Sequence alignment techniques (pairwise and multiple sequence alignment)

• Template identification using databases such as PDB and BLAST

Module 3: Homology Modeling Using MODELLER

• Understanding the MODELLER workflow and input files

• Building 3D protein models from sequence-template alignments

• Generating multiple models and selecting the best structure

Module 4: Model Optimization and Refinement

• Loop modeling and side-chain optimization

• Energy minimization and structural refinement techniques

• Improving model accuracy and stability

Module 5: Structure Validation and Quality Assessment

• Evaluating protein models using Ramachandran plots

• Model validation with tools like PROCHECK, Verify3D, and ERRAT

• Interpreting validation results and improving model quality

Final Project: Protein Structure Prediction and Validation

• Predict the 3D structure of a target protein from its amino acid sequence

• Perform homology modeling using MODELLER

• Validate and analyze the final structure using standard bioinformatics tools

• Present results with model files, validation reports, and interpretation

Who Should Take This Course?

• Bioinformatics and computational biology professionals
• Life science and biotechnology students
• Researchers working in structural biology
• Career switchers entering bioinformatics and modeling
• Science enthusiasts interested in protein structure prediction

Job Oppurtunities

After completing this Protein Structure Prediction Using MODELLER course, you can pursue roles such as:

• Bioinformatics Analyst
• Structural Bioinformatician
• Computational Biologist
• Protein Modeling Scientist
• Drug Discovery Research Associate
• Molecular Modeling Specialist

Why Learn With Nanoschool?

• Expert-led training from bioinformatics and structural biology professionals

• Practical, hands-on learning with real protein modeling projects

• Industry-relevant curriculum aligned with research and pharma needs

• Career support to help you grow in bioinformatics and life sciences roles

Key outcomes of the course

By completing this Protein Structure Prediction Using MODELLER course, you will:

• Build accurate 3D protein models from sequence data
• Validate and analyze protein structures confidently
• Apply MODELLER tools in research and industry projects
• Strengthen your career profile in bioinformatics and drug discovery
• Gain practical expertise in structural bioinformatics workflows

Enroll Now in the Protein Structure Prediction Using MODELLER Course and Start Learning Today