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Course Requirements

  • Motivation to Learn: A strong desire to actively engage with and understand for biological data analysis and research.
  • Basic Knowledge: Familiarity with core concepts in biology and molecular biology to relate programming applications to biological contexts.
  • Interest in Technology: An eagerness to explore and adopt programming tools and techniques widely used in computational biology and bioinformatics.
  • Software: Only free and open-source software will be utilized, eliminating the need for additional purchases.
  • Hardware: A laptop with at least 4GB of RAM and 100GB of free hard disk space to run and associated libraries effectively.
  • Course Description

    • Dive into the fundamental concepts and principles of molecular docking, bridging theory with practical applications.
    • Understand the role of molecular docking in drug discovery, virtual screening, and protein-ligand interactions.
    • Gain hands-on experience with docking software tools such as AutoDock and PyMOL for real-world scenarios.
    • Learn to interpret docking results, including binding affinity and poses, to derive actionable insights.
    • Explore case studies to understand the application of molecular docking in addressing biological and pharmacological challenges.
    • Develop the skills needed to independently design and execute molecular docking experiments.


    Course Outcomes

    • Acquire a solid understanding of molecular docking principles and its significance in computational drug discovery.
    • Master the use of molecular docking tools and software for analyzing protein-ligand interactions.
    • Develop proficiency in setting up and running molecular docking simulations using real-world datasets.
    • Interpret and analyze docking outputs to evaluate binding affinities and interactions effectively.
    • Apply molecular docking methodologies to solve complex problems in drug discovery and research.
    • Build a strong foundation for pursuing advanced studies or careers in computational drug discovery and bioinformatics.

    Rules & Regulations

    • Attendance: Students must watch at least 75% of the recorded sessions to meet the minimum participation criteria.
    • Feedback and Communication: Maintain open communication with instructors for clarifications and actively provide constructive feedback to enhance the course experience.
    • Certification: A certificate of completion will be awarded to students who fulfill the attendance requirement and complete all necessary course components.

    Course Curriculum

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    Super admin

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    Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.

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    Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

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    Unlocking secrets of Molecular Docking: From Theory to Practice

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