2 – Chemo-informatics Databases And File Formats

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About Course

1) Course Description

This professional online course provides a deep, structured, and industry-aligned foundation in Chemoinformatics Databases and File Formats, specifically tailored for computational drug discovery, molecular research, and Computer-Aided Drug Design (CADD) workflows.

Learners will explore how chemical, protein, and biological data is stored, structured, accessed, and utilized in modern drug discovery pipelines. Through a combination of theoretical concepts and practical hands-on exercises, participants will gain confidence in working with real-world databases, molecular file formats, and bioinformatics workflows.

This course is ideal for researchers, scientists, and professionals seeking to develop data mastery skills essential for modern pharmaceutical research, AI-driven drug discovery, and bioinformatics applications.


2) Course Content / Topics

  • Chemoinformatics data architecture

  • Chemical database systems (PubChem, DrugBank, SpiderChem, Zinc, ChEMBL)

  • Protein database systems (PDB, UniProt, InterPro, KEGG)

  • Molecular data representation and encoding

  • Structure-based and ligand-based file formats (SDF, MOL, PDB, etc.)

  • Computational drug discovery pipelines

  • Data storage, access, and retrieval systems

  • Bioinformatics data formats

  • Chemical and protein informatics workflows

  • Digital research infrastructures

  • Practical integration of databases into CADD pipelines

  • Real-world applications of chemoinformatics


3) Video Lessons

  • Promo – Chemoinformatics File Formats and Databases — 05:39

  • Content Overview & Schedule

  • How to Choose Your Research Point — 06:20

  • From Research Question to Proposal: Guide for Bioinformatics Researchers — 07:20

  • Theoretical 1 – File Formats in CADD — 37:47

  • Practical 1 – File Formats — 27:22

  • File Formats in CADD Quiz

  • Practical 1 – PubChem — 15:46

  • Practical 2 – DrugBank — 12:55

  • Practical 3 – SpiderChem — 04:09

  • Practical 4 – Zinc Database — 28:44

  • Practical 5 – ChEMBL — 33:37

  • Databases in CADD and Pharmaceutical Discovery Quiz

  • Practical 1 – PDB — 39:31

  • Practical 2 – UniProt — 23:29

  • Practical 3 – InterPro — 08:56

  • Practical 4 – KEGG — 29:09

  • Comprehensive Revision Session — 52:38


4) Learning Outcomes

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

  • Understand the structure and function of chemoinformatics databases

  • Navigate chemical and protein databases efficiently

  • Work confidently with molecular file formats (SDF, MOL, PDB, and others)

  • Access, store, and retrieve chemical and biological data

  • Integrate databases into computational drug discovery workflows

  • Apply database knowledge in real-world CADD projects

  • Use professional data handling methods in research

  • Build data-driven drug discovery workflows

  • Understand digital research infrastructures

  • Develop research-ready computational competence


5) Why Take This Course

  • Build professional-level data literacy in chemoinformatics

  • Master the infrastructure of computational drug discovery

  • Learn the data backbone of AI-driven drug design

  • Gain hands-on experience with real scientific databases

  • Strengthen your profile for pharma, biotech, and research labs

  • Prepare for advanced roles in drug discovery and molecular research

  • Develop research-ready technical competence

  • Understand the digital architecture behind modern drug discovery


6) Ecosystem / AI Features / Certification / Community

🤖 AI-Powered Learning Ecosystem

Integrated with a smart AI learning system designed to accelerate skill acquisition and provide deep scientific understanding.

AI Search Alien – Intelligent Research Mentor

  • AI-guided scientific research support

  • Concept clarification and workflow assistance

  • Real-time explanations of complex bioinformatics topics

  • Knowledge structuring for faster learning

🎓 Learning Path System

  • Structured academic progression

  • Skill-mapping architecture

  • Career-aligned learning tracks

  • Research-focused training system

  • Integrated diploma and certification pathway

🌍 Community & Scientific Network

  • Interactive, expert-led scientific community

  • Peer learning and collaboration spaces

  • Knowledge exchange ecosystem

  • Support for research projects and skill development

📜 Certification & Institutional Alignment

  • Internationally recognized certification

  • Accredited in Egypt and the United Kingdom

  • Registered with the UK Register of Learning Providers (UKRLP)

  • Research-recognized training model

  • Career-ready credential for academia and industry

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What Will You Learn?

  • Structure and function of chemoinformatics databases
  • Chemical data representation systems
  • Protein data organization and modeling
  • Molecular file formats in CADD (SDF, MOL, PDB, and more)
  • Data storage architectures in drug discovery
  • Data access and retrieval techniques
  • Chemical database navigation
  • Protein database navigation
  • Computational research data workflows
  • Digital drug discovery infrastructures
  • Practical database utilization skills
  • Real-world chemoinformatics applications
  • Data integration into CADD pipelines
  • Bioinformatics data handling systems
  • Research data management principles

Course Content

Before You Start

  • Promo-Chemo-Informatics-File-Formats-and-Databases

Research Plan

Chemo-Informatics File Formats

Chemo-Informatics Chemical Databases

Chemo-Informatics Protein Databases

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