How to Build a Drug Discovery System with Modern Tools

My Story

Book Title : How to Build a Drug Discovery System with Modern Tools

Author: Mansour Ansari

Release date: Xmas 2025 on Amazon Books

My name is Mansour Ansari. I am a retired software engineer in Oklahoma City, working out of a small back office that resembles a tinkerer’s lab more than a modern startup. There are no venture-funded glass walls here, no army of PhDs down the hall, just a desk, a few machines, a quantum random number generator blinking on COM4, another one in PCIe format in an old PC, and a stubborn belief that one person can still build something useful for humanity.

After retiring, I could have stopped. Instead, I found myself pulled back to an old fascination: how nature really makes decisions. Quantum mechanics had always been a distant curiosity to me, I mean the wavefunctions, entanglement, collapse, etc., but, but when I discovered QRNG hardware and cloud-accessible quantum computers like D-Wave and IonQ, something clicked. For the first time, I could touch the randomness of the universe directly, not as an equation in a textbook, but as a stream of bits I could feed into code.

At the same time, I was reading about the brutal reality of drug discovery:10–15 years per drug. Billions of dollars. 85% failure. I kept thinking:

if this is the state of the art, how are small labs, students, and independent researchers supposed to contribute?

So I decided to try something that, on paper, probably looked ridiculous:

A retired engineer, in a back office in Oklahoma, building a quantum-entropy-powered drug discovery engine from scratch , and opening it up to citizen scientists.

Over the past year, I’ve spent more than 3,000 hours designing and building what became QuantumCURE Pro: a full pipeline that pulls compounds from massive databases like PubChem and ChEMBL, prepares proteins, runs AutoDock Vina for molecular docking, analyzes IC₅₀ dose–response curves, visualizes Bemis–Murcko scaffolds, and most importantly, injects real quantum entropy into the search process.

I wired in:

• Classical PRNGs as a baseline

• Hardware QRNGs based on photon-level quantum events

• D-Wave quantum annealing as an entropic seed

• Planned integration with IonQ’s trapped-ion systems

And because I couldn’t leave it there, I added a symbolic layer called Zaban, a way of encoding collapse patterns and entropic fingerprints into glyphs and JSON structures. That’s not required to run a docking program. But it is required if you believe, as I do, that there are hidden structures in how quantum events unfold, and that capturing those structures might help us explore chemical space more intelligently.

This book tells the story, and the blueprint is of that system.

It is not written from the perspective of a large pharmaceutical company or a well-funded research institute. It’s written by someone who had to:

• Learn RDKit, Vina, Supabase, Streamlit, and React one piece at a time

• Fight with drivers, APIs, and SDKs late into the night

• Test runs on modest hardware while dreaming of an NVIDIA Spark workstation

• Treat every successful docking run as both a technical win and a small act of defiance against the idea that advanced drug discovery is reserved for the few

If you are a reader or builder, I wrote this book for you. If you are willing to write Python, run command-line tools, and connect to cloud APIs, you will find enough detail here to rebuild or extend what I have built. You don’t need to be a professor. You don’t need a huge lab. You need curiosity, patience, and a willingness to get your hands dirty.

If you are an investor or institutional partner, this book is more than documentation. It is evidence. It shows that, with limited resources, a single determined person can integrate quantum entropy, AI, docking engines, and multi-omics into a coherent, working system. Imagine what a small, well-supported team could do with a Spark workstation, IonQ credits, and a wet lab.

And if you are a citizen scientist, this is your invitation. The same way open-source software changed how we build code, I believe open, entropy-aware pipelines can change how we explore chemical space. In the end, my dream is simple: to assemble a “wet list” of candidate compounds that are strong enough, clean enough, and interesting enough to hand to a real laboratory—perhaps leading to one molecule that meaningfully helps in the fight against cancer.

One person in a back office will not cure cancer. But one person can build a new kind of engine, and then open the door for many others to push it further.

This book is my attempt to do precisely that.

— Mansour Ansari Founder, QuantumLaso, LLC Creator of QuantumCURE Pro

https://citizenscientist.org/