In Silico Drug Development
Learn to use statistical and machine learning techniques to:
- Explore quantitative structure-activity relationship (QSAR) models,
- Generation Descriptors
- Build Models
- Develop New Drug Candidates
Price: $ 50 $ 15
Our alumni work at
“
I had a great learning experience and importantly, I was super excited today because I got the opportunity to put my learning to use and I was able to do just that!
Aanuoluwa E.A.
Now in University of Oklahoma
About the Course
About the Course
The In-silico Drug Design course is designed to provide participants with a comprehensive understanding of computational drug design techniques. Participants will explore quantitative structure-activity relationship (QSAR) modeling, descriptor generation, model building, validation, and visualization. By the end of this workshop, participants will be equipped with the knowledge and skills to apply in silico methods to design and predict the properties of drug molecules.
Course Syllabus
Welcome to HackBio
- Welcome to HackBio
- The New Platform: Learning
- Testing the Platform
- Getting Help
Introduction to In Silico Drug Design
- Welcome to Drug Development
- Software Requirements
- Introduction to In-silico Drug Development
- Introduction to in-silico drug development
Understanding QSAR
- Understanding QSAR
- History of Drug Development and QSAR
- Introduction to QSAR
Molecular Descriptors
- Modelling Drugs with Molecular Descriptors
- Molecular Descriptors
- Descriptors
Molecular Descriptor Generation (Hands-On)
- Generating Molecular Descriptors
- Software Preparation
- Data Pre-processing
- A Quick Recap
- That was a lot 😮💨
- Descriptor Generation
Drug Modelling with De Novo Drug Hypothesis
- De Novo Drug Hypothesis
- Building the Evolutionary Drug Library
- Drug Modelling
Implementing QSAR
- Yes, we are finally there!
- Structure File Generation
- Structure File Generation
- Intorduction to Ezqsar
- Introduction to Ezqsar
- Implementing Ezqsar
- Exporting the Final Model and Applications
- Finally
Final Project Section
- Project: Hands-on 3D-QSAR Exploration of Anticancer Agents
- Diseases and their Targets: Pick One
Technologies you will use
R Programming
In Silico Drug Development
100% Practice Oriented
Mentorship
Immediately applicable skills
High quality portfolio projects
Price: $ 50 $ 15
ENROLL NOWHere is the Plan
Estimated Time
4 weeks
Start by
Today
Prerequisites
Molecular Biology, Programming with R
Real world projects
From industry and academia
Self-paced, flexible learning
Control your learning time and pace
Support for computing
You don't have to buy a new computer to learn
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