Dock and score more large-scale molecular docking batches. No IT skills are needed.

I have talked about my QuantumCURE Pro portal a lot in this space and on LinkedIn, and I need to say more. My work continues. My portal is shaping nicely, becoming a science-based molecular docking system with every possible feature I can think of. I have also watched other products and gotten ideas for some of those features, but better and even more streamlined. So, as I have said, over the past several months, I’ve been quietly building something that started as curiosity and is now becoming a fully working system.

Today, I can run large-scale molecular docking batches—50, 100, 250, even 350 compounds against multiple protein targets in the cloud. These are not mock simulations. These are real, scientifically grounded docking runs using a fully automated pipeline.

What excites me most is not just the output, but the visibility and control:

• Real-time view of compounds being docked

• Ability to look “under the hood” during execution

• Full session reports and event logs

• Run history and reproducibility tracking

• Multiple ways to analyze results, including symbolic and pathway-based views

The system is stable, repeatable, and performing well.

I’ve also integrated a growing library of real, FDA-approved cancer drugs, allowing direct docking and comparison workflows. Soon, researchers will be able to bring their own compounds (via SMILES) and run full docking sessions without worrying about setup, dependencies, or infrastructure.

And this is where it gets interesting…

The next major step is a multi-user cloud system, inspired by how modern genomics portals work:

• Researchers submit docking jobs

• Receive a ticket

• Run everything in the cloud

• No installation

• No DevOps

• No “be your own IT department.”

Just focus on the science.

That has been one of my core motivations: remove friction so researchers can spend time discovering—not configuring software stacks.

Along the way, I’ve also been exploring new ideas around how discovery itself behaves, not just the final docking score, but the path taken to get there. Still early, still experimental, but promising enough to keep pushing forward. I’m building this from my home office, one system at a time, with a simple goal:

Make advanced drug discovery tools more accessible, more transparent, and more useful.