Bioinformatics for Drug Discovery Research

Master bioinformatics tools and techniques to accelerate drug discovery, from target identification to lead optimization.
...

Introduction to Bioinformatics in Drug Discovery

Unit 1: Bioinformatics in Drug Discovery: An Overview

Unit 2: Key Bioinformatics Databases and Resources

Unit 3: Biological Data in Drug Discovery

Target Identification and Validation

Unit 1: Target Identification Fundamentals

Unit 2: Bioinformatics Tools for Target ID

Unit 3: Pathway and Network Analysis

Unit 4: Omics Data for Target Validation

Virtual Screening and Molecular Docking

Unit 1: Introduction to Virtual Screening

Unit 2: Molecular Docking Fundamentals

Unit 3: Hands-on Docking and Analysis

Unit 4: Advanced Techniques & Evaluation

ADMET Prediction and Lead Optimization

Unit 1: Introduction to ADMET Prediction

Unit 2: Excretion, Toxicity, and Drug-Likeness

Unit 3: Lead Optimization Techniques

Machine Learning for Drug Discovery

Unit 1: Introduction to Machine Learning in Drug Discovery

Unit 2: Predicting Drug-Target Interactions

Unit 3: Predicting ADMET Properties and Toxicity

Unit 4: Advanced Techniques and Applications

Case Studies and Applications

Unit 1: Case Studies in Drug Discovery

Unit 2: Applying Bioinformatics to Challenges

Unit 3: Future Trends and Research Proposals