MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.31 GB | Duration: 2h 17m

Making students confident and proficient in molecular docking
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
Requirements
A basic system/laptop
And your undivided attention for few hours
Description
This course will help students from all the categories either bner 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 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.
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.



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