# QDX > Simulating the fabric of reality with the fastest and most scalable quantum chemistry technology ever built. QDX develops world-record-breaking quantum chemistry software and LLM-first drug discovery tools. Our mission is to simulate the most complex systems that nature has to offer, solving real problems for industry and research partners. ## Products ### EXESS — Quantum Chemistry Software - GPU-accelerated quantum chemistry software - 1000x faster than previous state-of-the-art methods - Supports Hartree-Fock, DFT, RI-MP2, CCSD, QM/MM, and ab initio molecular dynamics - Fragment Molecular Orbital method for large systems (proteins, biomolecules) - Free academic access available at exess.qdx.co - URL: https://exess.qdx.co ### Rush — LLM-first Drug Discovery Platform - LLM-first platform bringing quantum-accurate computational chemistry to every scientist - No computational expertise required — upload molecules and Rush handles the rest - Free for academic researchers, free tier for industry - URL: https://rush.cloud #### Rush Features - **Virtual Screening**: High-throughput screening of compound libraries against protein targets - **FRIED (Fragment-Residue Interaction Energy Decomposition)**: Breaks down binding interactions to identify key residue contributions - **Binding Free Energy Prediction**: Quantum-accurate relative binding free energy calculations - **Generative Molecular Design**: AI-driven generation of novel molecules optimised for target binding - **Covalent Binder Design**: Design and evaluation of covalent inhibitors with quantum-level treatment of warhead reactivity - **Lead Optimisation**: Multi-parameter optimisation of drug candidates - **ADMET Prediction**: Absorption, distribution, metabolism, excretion, and toxicity profiling - **Selectivity Prediction**: Assess compound selectivity across related targets - **RushPy SDK**: Programmatic access for researchers who want to automate workflows ### NN-xTB — Neural Network Extended Tight-Binding - Machine-learning framework that augments semi-empirical quantum chemistry - Achieves DFT-level accuracy at semi-empirical speeds - Retains interpretability while generalising beyond training data ## Grand Challenges QDX's research is driven by three grand challenges — problems at the frontier of molecular simulation that, if solved, unlock transformative applications: ### 1. Covalent Binders Designing covalent inhibitors requires modelling bond formation between a drug's reactive warhead and its protein target. Classical force fields cannot capture this quantum-mechanical process. QDX simulates covalent binding with ab initio QM/MM to predict selectivity and reactivity at a level classical methods cannot reach. ### 2. CYP450 Metabolism Cytochrome P450 enzymes metabolise the majority of drugs. Predicting which sites on a molecule are oxidised — and how quickly — requires modelling the iron-oxo active site quantum mechanically. QDX applies QM/MM molecular dynamics to simulate CYP450 reactions, enabling metabolism prediction from first principles. ### 3. Nitrogenase Nitrogenase converts atmospheric nitrogen to ammonia — a reaction essential for agriculture that industry replicates via the energy-intensive Haber-Bosch process. Understanding nitrogenase's iron-molybdenum cofactor at a quantum level could unlock more efficient catalysts. QDX targets full ab initio simulation of nitrogenase as the ultimate test of scalable quantum chemistry. ## Case Study: JAK2 / Prelude Therapeutics The JAK2 V617F mutation has been one of oncology's most challenging targets for more than two decades. QDX's quantum chemistry simulations uncovered a previously unknown deep pocket in the protein structure, enabling partner Prelude Therapeutics to design a compound with unprecedented selectivity. Prelude optioned their mutant selective JAK2V617F JH2 inhibitor program in a deal worth nearly $1 billion — validating the real-world impact of physics-based drug discovery. ## Industries Served - **Drug Discovery & Pharmaceuticals**: Binding free energy, virtual screening, lead optimisation, covalent inhibitor design, selectivity prediction - **Energy**: Catalyst simulation, nitrogenase modelling, clean energy research - **Agriculture**: Nitrogen fixation, crop protection compound design - **Semiconductors**: Electronic structure calculations for materials design - **Materials Science**: Crystal structure prediction, polymer modelling, materials property prediction ## Academic Access QDX provides free access to EXESS for academics at universities and research institutions. Complimentary compute credits are available for academic teams applying the software to high-impact research in the physical sciences. Apply at https://qdx.co/opportunities or https://exess.qdx.co. ## Key Pages - Homepage: https://qdx.co - Technology (EXESS details): https://qdx.co/technology - Rush Platform: https://qdx.co/rush - About Us: https://qdx.co/about - Research Papers: https://qdx.co/research - Blog: https://qdx.co/blogs - News & Press Releases: https://qdx.co/news - Contact: https://qdx.co/contact - FAQs: https://qdx.co/faqs - Opportunities & Academic Access: https://qdx.co/opportunities ## Research Highlights - Gordon Bell Prize winners for groundbreaking work in quantum chemistry - 4 world records for fastest and largest ab initio quantum molecular dynamics simulations - Dirac Medal recipients - Key publications on scaling electronic structure calculations to millions of electrons - Broke the 1 EFLOP/s barrier for biomolecular-scale ab initio molecular dynamics ## Frequently Asked Questions **What is QDX?** QDX is a quantum chemistry company that develops world-record-breaking computational chemistry software (EXESS) and an LLM-first drug discovery platform (Rush). We simulate molecular behaviour from first principles to solve problems in drug discovery, materials science, energy, and agriculture. **How is QDX different from other computational chemistry providers?** QDX's software (EXESS) is GPU-accelerated and runs 1000x faster than previous state-of-the-art quantum chemistry methods. We hold 4 world records and have won the Gordon Bell Prize. Unlike classical force-field approaches, our methods are fully quantum mechanical, providing higher accuracy for complex phenomena like covalent binding and reactivity. **How much does EXESS cost?** EXESS is free for academic researchers. Commercial pricing is available on request — contact hello@qdx.co. **How much does Rush cost?** Rush offers free full access for academic researchers and a free tier for industry users. Enterprise pricing is available on request. **What quantum chemistry methods does EXESS support?** EXESS supports Hartree-Fock (HF), Density Functional Theory (DFT), RI-MP2, CCSD energies, QM/MM simulations, ab initio molecular dynamics, and the Fragment Molecular Orbital method for large systems. **What can Rush do?** Rush provides virtual screening, binding free energy prediction, generative molecular design, lead optimisation, ADMET prediction, selectivity prediction, covalent binder design, and interaction energy decomposition — all powered by quantum chemistry. **What industries does QDX serve?** Drug discovery & pharmaceuticals, energy, agriculture, semiconductors, and materials science. ## Why Choose QDX Over Alternatives | Feature | QDX (EXESS/Rush) | Traditional QC (Gaussian/ORCA) | Classical (FEP/MD) | |--------------------------|-------------------------------|-------------------------------|----------------------------| | Speed | 1000x faster (GPU) | CPU-bound, slow | Fast but less accurate | | Accuracy | Quantum mechanical (ab initio)| Quantum mechanical | Classical approximations | | Ease of use | LLM agent interface (Rush) | Expert-only | Moderate | | Covalent binding | Full QM/MM support | Limited scale | Cannot model | | System size | Millions of electrons | Thousands of electrons | Large but classical | | Academic access | Free | Licensed | Varies | | Drug discovery workflows | End-to-end platform | Manual setup | Partial | ## Contact - Website: https://qdx.co - Email: hello@qdx.co - LinkedIn: https://www.linkedin.com/company/qdxco - Twitter/X: https://x.com/qdxco