Download Structural Bioinformatics: Molecular Docking Masterclass 2025
Structural Bioinformatics: Molecular Docking Masterclass video course download, A-Z, Structural Bioinformatics: Proteomics, Molecular Docking and Virtual Screening. The application of bioinformatics techniques in biological research has markedly escalated recently. This Advanced Bioinformatics Course is carefully designed to give you a solid understanding of proteomics, a field closely related to structural biology, as well as hands-on training in molecular docking and virtual screening. Our goal is to give clear explanations and step-by-step examples so you can effectively use these basic bioinformatics methods.
What you’ll learn
- You will learn basics of Structural Bioinformatics Including Protein Structure Prediction
- You will learn Basic Theory of Molecular Docking (Theory and Practical)
- You will learn Basic concepts of proteomics
- You will Learn about Virtual Screening of Drugs (Theory and Practical)
- You will have Practical Demonstration of AutoDock, Vina, CB-Dock for Protein Ligand Docking
- You will have Practical Demonstration of PyMol to visualize the Protein drug complex
- The application of bioinformatics techniques in biological research has markedly escalated in recent years.
Course content
- Fundamentals of Protein Structure
- Protein Preparation for Molecular Docking
- Molecular Docking Fundamentals
- Autodock Vina Docking
- Virtual Screening
- Troubleshooting & Research Presentation
Who this course is for:
- Anyone Interested in Molecular Docking
- Biology and Chemistry Students
- Researchers and Scientists
- Bioinformaticians
- Pharmaceutical Industry Professionals
- Educators and Instructors
- Researchers in Structural Biology
- Structural Bioinformatics Researchers
- Graduates of Introductory Bioinformatics Courses
- Undergraduates and Postgraduates of Biotechnology, molecular biology, Biochemistry and Microbiology students
- Anyone Interested in Drug Discovery
- Anyone Interested in Molecular Docking and need a scientific figure in the research articles.
Course details
- Video quality: MP4 | Video: h264, 1280 × 720
- Audio quality: Audio: AAC, 44.1 KHz, 2 Ch
- Last updated 12/2025
- Video duration: 5h 0m
- Number of lessons: 7 sections, 38 lectures
- Language: Language: English
- Compressed file size: 3.2 GB
