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Advanced Molecular Docking Course with Full Automation.
Rating: 4.4 out of 5(110 ratings)
400 students
Last updated 8/2024
English

What you'll learn

  • About Protein and Drug related Database
  • About Protein Structure Visualization
  • How to perform Molecular Docking
  • How to model your protein using Webservers as well as using Modeller tool
  • How one can automate the whole docking process using python scripts

Course content

7 sections7 lectures2h 17m total length
  • Introduction3:40

    Introduction to  Molecular Docking and  little Insight of what we will be learning in this course

Requirements

  • A basic system/laptop
  • And your undivided attention for few hours

Description

This course will help students from all the categories either beginner or intemediate to learn molecular docking step-by-step with ease and proficiency. All you have to provide is your undivided attention for few hours.

This course provides the hands-on-training related to how to download the protein and ligand files, how to process the files before docking, how molecular docking can be performed and how  to analyze the result to  select the ligand best attached with our concerned protein.

After completing this couse, you can also be able to perform the docking on libraries contating thousands of componds to identify the best  top ligand hits for your concerned protein.

The course also provides the python scripts to automate the whole docking process after teaching  you all the basic concepts related to the docking.

After the sequencing  of human genome, the possibilties to identiy new genes responsible for causing severe diseases in humans increases manyfold along with the size of unalayzed data. Targetting disease causing gene by different drugs and compounds to affect their disease causing ability will help imensly in identifying the potential  therapeutic drug or compoud. Learning and mastering "Molecular Docking" applying this concept in  the research field will help the students to contribute in this process and to the humanity as well.


P.S: For my students only

If you are a student of this course and intent to use the above teaching techniques in your research paper, i will be glad to resolve your queries if you face any during the analysis for your paper.


Who this course is for:

  • Undergrad Students
  • Master Students
  • PhD Students
  • Bioinformaticians
  • Clinicians
  • Those who are interested in learning how protein and the ligand interacts.