Before a new medicine reaches a laboratory, scientists often spend years using computers to understand diseases, analyse biological targets, and identify promising drug molecules. This process—known as Computer-Aided Drug Design (CADD)—is one of the most exciting areas where biology, chemistry, physics, computer science, and artificial intelligence come together.

CADD is transforming the way scientists discover new medicines by allowing researchers to virtually test and optimise drug candidates before expensive laboratory experiments begin. It plays a critical role in modern pharmaceutical research, biotechnology, precision medicine, and AI-driven drug discovery.

BDG Lifesciences' 10-Day Computer-Aided Drug Design (CADD): From Basics to Advanced program introduces high school students to the fascinating world of computational drug discovery through live, instructor-led training rather than prerecorded lectures or simplified demonstrations.

Across ten interactive 90-minute sessions conducted online via Zoom, students explore how pharmaceutical scientists use computational methods to study drug molecules, analyse protein targets, predict interactions, simulate biological behaviour, and evaluate drug safety.

The program is structured around the three major stages of modern computational drug discovery:

Stage 1: Molecular Docking — Understanding How Drugs Bind to Targets

Students begin with the fundamentals of drug discovery, including ligand-based and structure-based drug design approaches. They then move into practical molecular docking workflows using professional tools such as AutoDock Tools, AutoDock Vina, PyRx, Chimera, PyMOL, and Discovery Studio Visualizer.

Students learn how researchers prepare protein and ligand structures, identify active sites, perform virtual screening, analyse docking results, interpret binding energies, and visualize protein-drug interactions using real biological examples.

Stage 2: Molecular Dynamics Simulation — Studying Drug Behaviour Over Time

Students are introduced to molecular dynamics simulation, a powerful computational approach used to understand how proteins and drug molecules behave under biologically realistic conditions.

Using GROMACS, VMD, and QTGrace/Xmgrace, students explore the complete workflow of a molecular dynamics simulation, including system preparation, protein-ligand complex formation, solvation, ionization, energy minimization, equilibration, production simulation, and trajectory analysis.

Students learn how scientists interpret simulation results through parameters such as RMSD, RMSF, hydrogen bonding, energy profiles, radius of gyration, and molecular motion visualization.

Stage 3: ADMET Analysis — Understanding Drug Safety and Effectiveness

A successful medicine is not only about binding to a target—it must also be safe and biologically suitable.

Students explore ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) analysis using tools such as SwissADME, Protox-III, and SwissTargetPrediction. They learn how scientists predict drug-like properties, toxicity risks, biological targets, and factors that influence whether a molecule could become a potential therapeutic candidate.

Designed specifically for high school students interested in medicine, biotechnology, pharmaceuticals, artificial intelligence, chemistry, or biomedical research, this program provides an authentic introduction to the technologies shaping the future of healthcare.

Sessions are delivered by trainers with research experience in computational biology, molecular modelling, drug discovery, and AI applications in life sciences. Several trainers have guided students in scientific projects, competitions, and research publications.

Each session includes a written summary for revision, and complete recordings are provided so students can revisit concepts and strengthen their understanding. Participants who successfully complete the program receive a Certificate of Completion from BDG Lifesciences.

The program also serves as a foundation for students who wish to continue into advanced 3–5 month mentored computational drug discovery research programs, where they can explore independent research projects and develop deeper scientific skills.

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Why High School Students Should Learn Computer-Aided Drug Design

Explore the Future of Medicine Before Entering University

The medicines of tomorrow will not be discovered only through traditional laboratory experiments. Increasingly, scientists are combining biology, chemistry, artificial intelligence, and computational modelling to accelerate the discovery of new treatments.

Computer-Aided Drug Design introduces students to this exciting future of healthcare and provides an early understanding of how modern medicines are developed.

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Experience Real Scientific Workflows Used in Pharmaceutical Research

This program goes beyond textbook explanations.

Students work with the same categories of computational approaches used by researchers in pharmaceutical and biotechnology organisations worldwide. They experience how scientists analyse drug molecules, study protein targets, simulate biological interactions, and evaluate potential drug candidates.

This exposure helps students understand how discoveries move from scientific ideas toward possible medical solutions.

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Build Strong Foundations for Future Research

High school is an ideal time to begin developing scientific curiosity and research skills.

This program helps students build foundations at an early stage by introducing them to computational thinking, molecular science, data interpretation, and research methodologies. These skills provide a valuable starting point for future university projects, laboratory research, science competitions, and advanced STEM learning.

Students who understand these concepts early often find it easier to engage with advanced research environments later in their academic journey.

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Develop Skills at the Intersection of Biology, Chemistry, and Artificial Intelligence

The future of medicine will increasingly depend on scientists who can understand multiple disciplines.

Through this program, students discover how:

• Biology explains disease mechanisms
• Chemistry influences drug properties
• Physics helps understand molecular interactions
• Computer simulations predict biological behaviour
• Artificial intelligence accelerates scientific discovery

This interdisciplinary exposure helps students develop a broader understanding of modern science.

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Strengthen Science Fair Projects and University Applications

Students interested in biotechnology, medicine, pharmacy, computational biology, or AI can use the knowledge gained from this program as a foundation for developing future research projects.

Exposure to computational drug discovery demonstrates initiative, scientific curiosity, and engagement with advanced STEM topics beyond the standard school curriculum.

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Prepare for Future Careers in Healthcare and Biotechnology

CADD is becoming increasingly important in areas such as:

• Drug discovery
• Pharmaceutical research
• Precision medicine
• Biotechnology
• Artificial intelligence in healthcare
• Computational biology
• Biomedical engineering

Early exposure helps students understand emerging career pathways and make more informed decisions about future education.

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Learn from Experts and Continue the Research Journey

The program is designed not only to introduce students to CADD but also to inspire further exploration.

Students who complete the program can continue their learning journey through advanced BDG Lifesciences mentored research programs, where they can develop deeper expertise and explore independent computational research projects.

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Frequently Asked Questions (FAQs)

1. What is Computer-Aided Drug Design (CADD) for high school students?

Computer-Aided Drug Design (CADD) is the use of computational tools, simulations, and artificial intelligence to help scientists discover and develop new medicines. In this program, high school students learn how researchers use computers to study drug molecules, analyse protein targets, predict interactions, and evaluate potential drug properties before laboratory testing.

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2. Is this Computer-Aided Drug Design program suitable for beginners?

Yes. The program is specifically designed for high school students who are new to computational drug discovery. Students do not need previous experience in CADD, molecular modelling, programming, or advanced chemistry. The program begins with the fundamentals of drug discovery before gradually introducing practical computational workflows.

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3. Do students need coding experience to join this program?

No. Coding experience is not required. Students learn how to use established scientific software platforms and understand the concepts behind computational drug discovery. The focus is on developing scientific understanding and practical exposure rather than programming.

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4. Do students need advanced chemistry knowledge?

No. A general interest in biology, chemistry, medicine, or science is sufficient. Important concepts related to molecules, proteins, and drug discovery are explained step-by-step before students begin practical activities.

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5. What are the three major areas covered in this CADD program?

The program covers three important stages of computational drug discovery:

1. Molecular Docking: Understanding how drug molecules interact with protein targets.

2. Molecular Dynamics Simulation: Studying how protein-drug complexes behave over time under simulated biological conditions.

3. ADMET Analysis: Predicting drug properties, safety, toxicity, and biological compatibility.

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6. Which software tools will students use during the program?

Students gain practical exposure to professional computational drug discovery tools including:

Molecular Docking: AutoDock Tools, AutoDock Vina, PyRx, Chimera, PyMOL, and Discovery Studio Visualizer.

Molecular Dynamics Simulation: GROMACS, VMD, and QTGrace/Xmgrace.

Drug Property and Safety Analysis: SwissADME, Protox-III, and SwissTargetPrediction.

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7. Is this a live training program or a recorded course?

This is a live online training program conducted through Zoom. Students interact directly with instructors, ask questions, and follow practical demonstrations in real time. Recordings are provided after each session for revision.

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8. How long is the program?

The program runs for 10 consecutive days, with one live 90-minute session per day. Each session includes practical demonstrations, explanations, and guided learning activities.

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9. Can this program help students with science fair projects?

Yes. The concepts introduced in this program can provide a foundation for science projects related to drug discovery, molecular biology, biotechnology, disease research, and computational science.

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10. How can this program help with university applications?

Participation demonstrates curiosity, initiative, and engagement with advanced STEM concepts beyond the regular school curriculum. Students gain exposure to technologies used in modern pharmaceutical research, which can strengthen academic portfolios and future applications in medicine, biotechnology, and related fields.

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11. Will students receive a certificate after completing the program?

Yes. Students who successfully complete the program receive a Certificate of Completion from BDG Lifesciences, which can be included in academic portfolios, research profiles, and future applications.

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12. Are session recordings provided?

Yes. All sessions are recorded and shared with participants. Students can revisit explanations, repeat workflows, and strengthen their understanding even after the live program concludes.

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13. What happens after completing this 10-day program?

Students who complete the program may continue into BDG Lifesciences' advanced 3–5 month mentored computational drug discovery research programs. These extended programs provide deeper exposure to research methodology and independent project development.

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14. What computer requirements are needed?

Students require a laptop or desktop computer with a stable internet connection. Additional software installation requirements will be guided during the program.

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15. What is the course fee?

The program fee is USD $226 and includes ten live instructor-led sessions, practical demonstrations, session summaries, recordings, and a Certificate of Completion upon successful completion.

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16. Why is the registration fee displayed in Australian Dollars (AUD)?

Registration and payment are processed through Humanitix, an Australian payment platform. The checkout amount displayed in AUD represents the equivalent value of the USD course fee based on the prevailing exchange rate at the time of payment.

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17. Why should students choose BDG Lifesciences for CADD training?

BDG Lifesciences has been providing training in bioinformatics, computational biology, drug discovery, molecular modelling, and life science technologies since 2010. This program brings industry-relevant computational drug discovery concepts into a structured learning experience designed specifically for high school students.

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How To Register

To secure your spot:

• Click on Register Now button and proceed.
• After registering, please email to [email protected] with your preferred start date and choose one of the following time slots: 5 AM–9 AM or 5 PM-9:30 PM EDT/CDT/PDT.
• Once you register, please allow us 2-5 working days to make your training schedule, i.e. dates and time.
• For any further queries, feel free to email us at [email protected]

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⚠️ Important Eligibility Notice

This program has been exclusively designed for High School Students (typically Grades 8–12 or equivalent) and their parents.

If you are a university student, researcher, faculty member, working professional, or belong to any category other than a high school student, please do not register for this program. BDG Lifesciences offers separate training programs specifically designed for undergraduate students, postgraduate students, researchers, faculty members, and industry professionals.

Please ensure you are registering for the correct program before completing your payment.

Registration fees for this program are strictly non-refundable and non-transferable. Registrations made by participants outside the intended eligibility criteria may be cancelled without refund or transfer to another program.

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