1 – Introduction to Chemoinformatics and Computational Drug Discovery

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About Course

1) Course Description

This introductory online course provides a comprehensive foundation in Chemoinformatics and Computational Drug Discovery, integrating chemistry, biology, and information technology into a unified learning experience.

Designed for absolute beginners and early-stage researchers, the course introduces the core principles, tools, and methodologies of Computer-Aided Drug Design (CADD), molecular modeling, molecular docking, virtual screening, and molecular dynamics simulations.

Available free and open to all, this course serves as the perfect entry point for anyone exploring a future in drug discovery, bioinformatics, pharmaceutical sciences, and computational biology. Whether you are considering a career shift, academic specialization, or advanced research training, this program provides the clarity, structure, and scientific foundation needed to move forward confidently in the field.


2) Course Content / Topics

  • Chemoinformatics fundamentals

  • Computational drug discovery pipelines

  • Computer-Aided Drug Design (CADD) systems

  • Structure-based drug design

  • Ligand-based drug design

  • Molecular modeling techniques

  • Molecular docking methodologies

  • Virtual screening strategies

  • Molecular dynamics simulations

  • QSAR modeling principles

  • ADMET prediction fundamentals

  • Scientific research writing

  • Research collaboration systems

  • Digital research platforms

  • Drug discovery workflow design


3) Video Lessons

  • Orientation Session + Learning System Structure + Platform Workflow + Diploma System + Platform Overview — 56:04

  • Lecture 1 – Computer-Aided Drug Design (CADD) — 46:04

  • Lecture 2 – Fundamentals of Computer-Aided Drug Design — 35:27

  • Lecture 3 – Molecular Docking and Virtual Screening — 32:30

  • Lecture 4 – Molecular Dynamics Simulations — 27:24

  • Lecture 5 – Scientific Writing and Collaboration — 30:50

  • Professional Profile Quiz & Assessment


4) Learning Outcomes

By the end of this course, learners will be able to:

  • Understand the full computational drug discovery workflow

  • Explain the principles of Chemoinformatics and CADD

  • Apply molecular docking concepts in drug-target interaction analysis

  • Understand virtual screening pipelines for drug candidate identification

  • Interpret molecular dynamics simulations

  • Recognize structure–function relationships in biomolecular systems

  • Understand AI-assisted drug discovery systems

  • Apply scientific writing standards in research contexts

  • Collaborate effectively in scientific and research environments


5) Why Take This Course

  • Build a strong scientific foundation in computational drug discovery

  • Explore real-world drug discovery technologies used in pharma and biotech

  • Learn AI-integrated methodologies in modern research

  • Prepare for advanced academic programs in bioinformatics and drug design

  • Gain career-aligned skills for pharmaceutical R&D, biotech, and research labs

  • Understand the full digital drug discovery pipeline from theory to application


6) Ecosystem / AI Features / Certification / Community

Intelligent Learning Ecosystem

This course is integrated into a smart AI-powered learning system designed to accelerate understanding and mastery:

🤖 AI Search Alien – Intelligent Learning Mentor

An advanced AI research assistant system that acts as a personal mentor, enabling:

  • Intelligent concept explanations

  • AI-driven knowledge search

  • Research support

  • Scientific concept breakdowns

  • Guided learning pathways

  • Smart academic support

🎓 Learning Path System

  • Structured progression from fundamentals to advanced concepts

  • Academic skill-building roadmap

  • Career-aligned learning architecture

  • Research-focused educational design

🌍 Community & Collaboration

  • Access to a scientific learning community

  • Peer-to-peer collaboration

  • Research networking environment

  • Academic and professional mentorship culture

📜 Certification & Learning System

  • Integrated diploma learning structure

  • Institutional learning platform

  • International educational alignment

  • Career-ready academic positioning

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What Will You Learn?

  • Foundations of Chemoinformatics and computational drug discovery
  • Core principles of Computer-Aided Drug Design (CADD)
  • Structure-based and ligand-based drug design methodologies
  • Molecular docking and binding interaction prediction
  • Virtual screening workflows for drug candidate discovery
  • Molecular dynamics simulation concepts
  • QSAR modeling and predictive analytics
  • ADMET prediction fundamentals
  • Drug-target interaction modeling
  • AI-assisted research methodologies
  • Scientific writing for research publications
  • Research collaboration systems
  • Digital research workflow design
  • Academic research standards
  • Computational biology foundations

Course Content

1 – Computer Aided Drug Design

  • 1 – Computer Aided Drug Design
    44:38
  • 2 – Fundamentals Of Computer Aided Drug Design
    30:22
  • 3- Molecular Docking And Virtual Screening.
    39:16
  • 4- Molecular Dynamics Stimulations
    27:24
  • 5- Scientific Writing And Collaboration Part 1
    30:50
  • 6- Scientific Writing And Collaboration Part 2
    05:08

Earn a UK-Recognized Certificate

Learners Will Receive A Certificate Issued By Ebo Bio Solution LTD (UKRLP No. 10097468), UK Registered.

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