1) Course Description

Master Gene Prediction and Protein-Protein Interaction (PPI) Analysis with this comprehensive online bioinformatics program. This course delivers an in-depth exploration of core genomic and proteomic techniques essential for genome annotation, molecular pathway analysis, and cellular function understanding.

Through a combination of advanced computational tools, practical bioinformatics workflows, and AI-assisted learning, participants will gain hands-on expertise in gene identification, genomic sequence analysis, and PPI network evaluation. This program equips learners with the skills to interpret molecular mechanisms, protein interactions, and evolutionary insights, preparing them for advanced research and professional applications in genomics, systems biology, and molecular medicine.

2) Course Content / Topics

• Gene prediction principles and methodologies

• Genomic sequence analysis and genome annotation

• Protein-protein interaction (PPI) fundamentals

• PPI network analysis and interpretation

• Functional significance of protein interactions in cellular pathways

• Computational tools for gene prediction and PPI analysis

• Integration of bioinformatics workflows in molecular research

• AI-assisted sequence analysis and data visualization

• Research-oriented applications in systems biology and drug discovery

3) Video Lessons

• Promo for the Course – Overview of Gene Prediction and PPI Analysis

• Gene Prediction Techniques and Tools — 18:22

• Introduction to Genetic Prediction — 29:58

• Protein-Protein Interaction (PPI) Analysis — 37:11

• Gene Prediction Using FGENESH — 20:00

• Gene Prediction Using ProtParam — 09:30

• InterPro Classification of Protein Families — 12:35

• Gene Prediction Practical Assessment

• PPI Analysis Using STRING — 46:41

• Protein-Protein Interaction Practical Assessment

4) Learning Outcomes

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

• Predict genes using bioinformatics tools and genomic sequence data

• Understand the biological significance of protein-protein interactions (PPI)

• Analyze and interpret complex PPI networks and pathways

• Integrate gene prediction and PPI analysis into research workflows

• Apply AI-assisted platforms for accelerated learning and data interpretation

• Conduct research-ready bioinformatics projects in genomics and molecular biology

5) Why Take This Course

• Gain practical, hands-on experience in gene prediction and PPI analysis

• Develop research-ready bioinformatics skills for academia and industry

• Learn to analyze protein interaction networks for functional insights

• Strengthen your profile for careers in genomics, molecular biology, and systems biology

• Access an AI-guided learning environment to accelerate skill acquisition

• Earn an internationally recognized certificate for professional and academic advancement

6) Ecosystem / AI Features / Certification / Community

🤖 AI-Powered Learning Ecosystem

• AI Search Alien – Intelligent bioinformatics mentor for real-time guidance

• Step-by-step support for gene prediction and PPI workflows

• Concept explanation, workflow navigation, and accelerated learning

🎓 Learning Path / Learning System

• Structured progression from gene prediction basics to PPI network analysis

• Research-focused modules with competency tracking

• Integrated diploma and internationally accredited certification pathway

📜 Certification & Accreditation

• Certificate recognized internationally

• Accredited in Egypt and the UK

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

• Career-aligned certification suitable for professional and research advancement

🌍 Community Support

• Interactive scientific learning community

• Peer collaboration and knowledge exchange

• Expert mentorship and research networking

• Practical guidance through hands-on exercises and projects