The InSilico Lab presents a three-week intensive virtual research training program designed to equip participants with practical, hands-on skills in Computer-Aided Drug Design (CADD). This program emphasizes real-world workflows, research-grade tools, and portfolio-ready outcomes.
This training is designed for students and early-career researchers seeking a structured introduction to structure-based drug design, molecular docking, drug-likeness screening, and AI-driven tools in drug discovery. Participants will work through guided exercises, weekly assignments, and a final mini-research capstone.
Duration: 3 Weeks
Time Commitment: 3–5 hours per week
Format: Fully Virtual (Live Zoom Sessions + Hands-on Assignments)
Training Style: Mentored, practical, and research-oriented.
Participants will:
Learn the foundations of Computer-Aided Drug Design (CADD)
Gain hands-on experience with drug discovery databases
Prepare ligand libraries from public chemical databases
Perform protein preparation and cleaning
Conduct drug-likeness screening (Lipinski & extended rules)
Perform ADMET and toxicity prediction
Execute molecular docking and visualize binding interactions
Explore AlphaFold 3 for protein structure prediction
Gain introductory exposure to Boltz-2
Receive mentorship, feedback, and portfolio-ready project guidance
By the end of the program, participants will be able to:
Retrieve and curate data from chemical and biological databases
Format and prepare ligands for virtual screening
Clean, protonate, and prepare protein structures
Perform drug-likeness and ADMET screening
Conduct and interpret molecular docking results
Visualize docking poses and protein–ligand interactions
Understand the role of AI-driven tools in modern drug discovery
This program is open to:
Undergraduate students
Graduate students
Early-career researchers
Fields:
Biology, Chemistry, Pharmacy, Biotechnology, or related disciplines.
🔹 No prior experience required
🔹 Basic computer familiarity is encouraged
Participants will receive:
Certificate of Completion
A portfolio-ready mini research project
Practical skills applicable to academic and industry research
Membership in The InSilico Lab training community.
Applicants must submit:
Curriculum Vitae (CV)
Statement of Interest
🗓 Application Deadline: January 18th, 2026
For questions or additional information:
📧 theinsilicolab@gmail.com
🌐 www.theinsilicolab.org