1) Course Description

Master the science of ADME/Tox prediction and its integration with Pharmacogenomics, Pharmacodynamics, and Personalized Medicine in this advanced online course. Explore computational tools and in silico methodologies to predict drug absorption, distribution, metabolism, excretion, and toxicity, while understanding how genetic variability influences drug response.

Gain the expertise to analyze drug dynamics, optimize therapeutic strategies, and implement personalized medicine approaches that enhance drug efficacy and minimize adverse reactions. This program combines theoretical foundations with practical, hands-on exercises to equip learners with actionable skills for drug discovery, pharmacogenomics research, and clinical applications.

2) Course Content / Topics

• Fundamentals of ADME/Tox in Drug Development

• Computational tools for in silico ADME/Tox prediction (ADMET Predictor, Schrödinger, MOE)

• Pharmacogenomics and its influence on drug metabolism and response

• Pharmacodynamics: drug concentration-effect relationships and modeling efficacy/toxicity

• Personalized medicine strategies based on ADME/Tox and genomic profiles

• Regulatory and ethical considerations in drug development

• Multi-omics integration (genomics, proteomics, metabolomics) for comprehensive drug profiling

• Real-world case studies and collaborative drug development projects

3) Video Lessons

• Promo: ADME/Tox Prediction & Personalized Medicine (10:24)

• Decoding Drug Molecules From Structure to Function Part 1 & 2 (28:54 / 29:36)

• Principles of Drug Likeness: Ensuring Safety and Efficacy Part 1 & 2 (29:13 / 30:34)

• Practical: MolSoft – Molecular Properties and Drug Likeness (24:04)

• ADME & Toxicity Series Part 1–6 (30:20 → 42:31)

• Practical: SwissADME (41:28) + Assignment

• Toxicity Prediction: ProTox Practical & Assignment (39:28 / 39:15)

• Pharmacogenomics: ClinPGx & Practical Modules (33:54 → 46:17)

• Pharmacodynamics: How Drugs Interact with the Body (45:22)

• Personalized Medicine: Tailoring Healthcare to the Individual (37:47)

• Final Exam

4) Learning Outcomes

By completing this course, learners will be able to:

• Define and explain ADME/Tox components in drug development

• Utilize computational tools to predict drug absorption, metabolism, and toxicity

• Apply pharmacogenomic data to anticipate individual drug responses

• Model drug efficacy and toxicity using pharmacodynamic principles

• Design personalized therapy strategies to enhance safety and therapeutic outcomes

• Navigate regulatory requirements and ethical considerations in personalized medicine

• Integrate multi-omics data for comprehensive drug profiling

• Translate computational predictions into clinical and research applications

5) Why Take This Course

• Acquire cutting-edge knowledge in computational drug profiling and personalized medicine

• Gain practical experience with industry-standard tools and bioinformatics software

• Strengthen your career prospects in pharmacology, drug discovery, and precision medicine

• Engage in interdisciplinary learning with insights from biology, chemistry, and computational science

• Learn to implement personalized medicine approaches that optimize patient outcomes

6) Ecosystem / AI Features / Certification / Community

🤖 AI Search Alien – Intelligent Scientific Mentor

• Interactive AI-driven guidance for ADME/Tox, pharmacogenomics, and pharmacodynamics

• Step-by-step workflow navigation and real-time problem solving

• Accelerated learning and concept comprehension

🎓 Learning Path / Learning System

• Structured modules from ADME/Tox fundamentals to personalized medicine implementation

• Hands-on exercises, assignments, and case studies

• Competency tracking and integrated assessment system

📜 Certification & Accreditation

• Internationally recognized certificate

• Accredited in Egypt and the UK

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

• Career-aligned certification for research and industry advancement

🌍 Community Support System

• Active scientific community for discussion and collaboration

• Peer-to-peer knowledge exchange

• Mentorship and professional networking opportunities