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AI and Machine Learning for Drug Discovery - 2025

By decode Life

Course Summary

Date

Topics

29 March, 2025

Introduction to Linux Environment

30 March, 2025

Advanced Linux commands

31 March, 2025

Overview of Drug Discovery & Development ;Structure & Ligand Based Drug Discovery

1 April, 2025

Basics of Programming-1 (Python )

2 April, 2025

Basics of Programming-1 (Python )

3 April, 2025

Basics of Programming-1 (Python )

4 April, 2025

OFF

5 April, 2025

Introduction to QSAR and Machine Learning

6 April, 2025

Calculating molecular descriptors, Feature Selection and Preprocessing,

7 April, 2025

Building QSAR models : Linear regression models

Decision trees and random forests

Implementing basic QSAR model

8 April, 2025

Building QSAR Models (Part 2)

Support Vector Machines (SVM)

Artificial Neural Networks (ANN)

Implementing advanced QSAR models

9 April, 2025

Model Validation and Optimization

Cross-validation techniques

Hyperparameter tuning

Validating and optimizing QSAR models

10 April, 2025

Interpretation and Application

Interpreting QSAR models

Applying models to new compounds

End-to-end QSAR analysis

11 April, 2025

OFF

12 April, 2025

Analysis/Visualization Software : Pymol

13 April, 2025

Molecular Docking Tools : Autodock4, Vina

14 April, 2025

Molecular Dynamics : Gromacs

15 April, 2025

Molecular Dynamics : Gromacs

16 April, 2025

Molecular Dynamics : Gromacs

17 April, 2025

OFF

18 April, 2025

Introduction to DeepPurpose Library : Environment Preparation

Setting up DeepPurpose environment

Basic concepts of deep learning for drug discovery

19 April, 2025

OFF

20 April, 2025

OFF

21 April, 2025

Data Preparation

Preparing datasets for DeepPurpose

Data preprocessing for drug-target interaction prediction

22 April, 2025

Drug-Target Interaction (DTI) Prediction

Introduction to DTI prediction models

Implementing basic DTI models

Running a DTI prediction task


Course Curriculum

Decode Life

Decode life is a group of enthusiastic researchers, who are aimed to (de)code the life sciences. Our goal is to create a self sustained system through cross learning and joining hands together to address the problems that matter the most. With the availability of large data, Bioinformatics has become an integral part for almost every biomedical lab. We wanted to fill in the niche and train the next generation of data scientists.

John Smith

Developer

Highly Recommended Course. Easy to Understand, Informative, Very Well Organized. The Course is Full of Practical and Valuable for Anyone who wants to Enhance their Skills. Really Enjoyed it. Thank you!!

Course Pricing