When I retired from my career in software engineering and communications systems, I asked myself a simple question: What should I do with the time I have left? I decided to learn something completely new. Over the past several years, I have immersed myself in computational chemistry, molecular docking, quantum computing concepts, cloud infrastructure, and AI tools. Out of that journey came a platform I built from my home office in Oklahoma City called QuantumCURE Pro™ . The s

I’m proud of the system I’ve built. When people look at QuantumCURE Pro™, the attention usually goes to the more visible layers, the AI analysis, the quantum entropy experiments, and the symbolic frameworks I’ve been exploring. Those are exciting, and they naturally capture attention. But the truth is that none of those layers matter unless the foundation is correct . When I delved into cheminformatics and started thinking about building a pipeline that researchers can use w

QuantumCURE Pro Protein Prep to Dock and Score Think about what a typical researcher faces without my system: they're juggling RDKit, Meeko, OpenBabel, and AutoDock Vina as separate tools, writing their own glue scripts, managing file conversions on local machines, debugging PDBQT formatting issues, and doing all of that before  they even get to look at a docking score. That's hours of prep work per screening run, and it's error-prone. Most academic labs, especially at R2 i