Basics of Computer Aided Drug Discovery Part-I
Basics of Computer Aided Drug Discovery Part-I, available at $44.99, has an average rating of 4.15, with 20 lectures, based on 152 reviews, and has 680 subscribers.
You will learn about Introduction to Computer Aided Drug Discovery. Introduction to databases like PDB, PubChem and ZINC database. How to visualize protein and ligands in Biovia Discovery Studio and MGLtools. How to prepare files for docking studies. How to execute molecular docking. How to analyze the docking output results. How to generate publication quality figures from the docking output. This course is ideal for individuals who are Bachelors or Masters degree or PhD scholar of Pharmaceutical sciences, Biochemistry, Biotechnology, Chemistry or related who are into drug discovery research will benefit most of this course. It is particularly useful for Bachelors or Masters degree or PhD scholar of Pharmaceutical sciences, Biochemistry, Biotechnology, Chemistry or related who are into drug discovery research will benefit most of this course.
Enroll now: Basics of Computer Aided Drug Discovery Part-I
Summary
Title: Basics of Computer Aided Drug Discovery Part-I
Price: $44.99
Average Rating: 4.15
Number of Lectures: 20
Number of Published Lectures: 20
Number of Curriculum Items: 20
Number of Published Curriculum Objects: 20
Original Price: $44.99
Quality Status: approved
Status: Live
What You Will Learn
- Introduction to Computer Aided Drug Discovery.
- Introduction to databases like PDB, PubChem and ZINC database.
- How to visualize protein and ligands in Biovia Discovery Studio and MGLtools.
- How to prepare files for docking studies.
- How to execute molecular docking.
- How to analyze the docking output results.
- How to generate publication quality figures from the docking output.
Who Should Attend
- Bachelors or Masters degree or PhD scholar of Pharmaceutical sciences, Biochemistry, Biotechnology, Chemistry or related who are into drug discovery research will benefit most of this course.
Target Audiences
- Bachelors or Masters degree or PhD scholar of Pharmaceutical sciences, Biochemistry, Biotechnology, Chemistry or related who are into drug discovery research will benefit most of this course.
A perfect course for Bachelors / Masters / PhD students who are getting started into Drug Discovery research. This course is specially designed keeping in view of beginner level knowledge on computational drug discovery applications for science students. By the end of this course participants will be equipped with the basic knowledge required to navigate their drug discovery project making use of the biological databases and computational tools.
Course Curriculum
Chapter 1: Introduction to the course
Lecture 1: Introduction to the course
Chapter 2: Introduction to Computer Aided Drug Discovery
Lecture 1: Introduction to Computer Aided Drug Discovery
Chapter 3: Introduction to Biological databases
Lecture 1: Introduction to PDB database
Lecture 2: Introduction to PubChem database
Lecture 3: Introduction to ZINC database
Chapter 4: Download and Installation of MGLtools and Biovia Discovery Studio
Lecture 1: Download and Installation of MGLtools
Lecture 2: Download and Installation of Biovia Discovery Studio
Chapter 5: Introduction to visualization of protein and ligand in Biovia Discovery studio
Lecture 1: Introduction to visualization of protein in Biovia Discovery studio
Lecture 2: Introduction to visualization of Ligand in Biovia Discovery studio
Chapter 6: Introduction to visualization of protein and ligand in MGLtools
Lecture 1: Introduction to visualization of protein and ligand in MGLtools
Chapter 7: Rationale behind molecular docking application and its types
Lecture 1: Rationale behind molecular docking application and its types
Chapter 8: Introduction to molecular docking using Autodock
Lecture 1: Preparation of ligand
Lecture 2: Preparation of protein receptor
Lecture 3: Preparation of autogrid parameter file
Lecture 4: Preparation of autodock parameter file
Lecture 5: Visualizing autodock parameter file
Lecture 6: Executing autogrid parameter file
Lecture 7: Executing autodock parameter file
Chapter 9: Analyzing molecular docking result output from Autodock
Lecture 1: Analyzing molecular docking result output from Autodock using MGLtools PMV
Lecture 2: Analyzing molecular docking result output from autodock using Biovia DS
Instructors
-
Hussain Basha Syed
Computational Biologist / Chemist
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 8 votes
- 3 stars: 34 votes
- 4 stars: 56 votes
- 5 stars: 50 votes
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