Become a Hands-On Computational Chemist
— Without Expensive Software or a PhD

Learn modern protein-ligand modeling with RDKit, PyMOL, and OpenMM. Build real-world skills in structure prep, docking, simulation, and analysis — no fluff, no vendor lock-in.

What You’ll Learn in This Bootcamp

Build real-world, job-ready skills with open-source tools

🧬

Ligand Prep with RDKit

Clean, protonate, and filter compounds using cheminformatics tools

🔎

3D Structure Generation

Convert 2D molecules into realistic 3D conformers for downstream modeling.

🧰

Protein Prep with PDBFixer

Load, clean, and prepare PDB structures for docking and simulation.

🎯

Molecular Docking with AutoDock Vina

Predict binding poses of small molecules using automated docking workflows.

🧠

Binding Analysis & Scoring

Analyze ligand poses and extract key metrics to prioritize leads.

⚙️

Running Simulations with OpenMM

Simulate protein–ligand complexes to explore dynamics and stability.

Why This Bootcamp Works

🧪

Built by a Working Scientist

This bootcamp is created by a computational chemist actively working in the field — not a generic course or AI-generated content. You’ll learn the exact workflows used in real-world drug discovery.

🛠️

Real Tools, Real Workflows

You’ll master RDKit, PyMOL, PDBFixer, OpenMM, and more — all open-source tools used by professionals. Nothing is watered down or hidden behind a paywall.

🎓

No Ph.D. Required

This bootcamp is beginner-friendly but serious. You’ll build job-ready skills using tools anyone can access — with step-by-step guidance the whole way.

Is This Bootcamp Right for You?

You'll love this if you...

  • Are a student or researcher who wants hands-on modeling skills without expensive software barriers

  • Want to break into computational chemistry using RDKit, PyMOL, and OpenMM

  • Are self-taught and ready to go beyond tutorials and documentation

  • Prefer building real-world workflows over watching endless lecture slides

  • Want job-ready skills without needing a PhD in Computational Chemistry

About the Instructor

I still remember the first time I tried to dock a ligand. I had no idea what I was doing — just me, a forum post from long ago, and a stack of broken PDB files.Since then, I’ve worked across the industry — from large pharma like Merck and Bristol Myers Squibb to cutting-edge tech teams in drug discovery. Along the way, I’ve tutored and mentored aspiring scientists, led cross-functional project teams, and helped others go from confused to confident in their computational chemistry workflows.What I’ve learned is this:
You don’t need a PhD or expensive software to do real-world modeling.
You need workflows that work, and someone to walk you through them.That’s what this bootcamp is for.

Ready to Build Real-World Modeling Skills?

Learn practical, job-ready computational chemistry with open-source tools — no PhD or expensive software required.