QuantumBind

QuantumBind® is an integrated discovery platform for small molecules developed by Acellera, designed to accelerate and improve the accuracy of small molecule discovery and potency optimization. Built on years of research and development in artificial intelligence, machine learning, quantum chemistry, and molecular simulations, it is positioned as the fastest and most accurate platform of its kind for drug discovery teams working across the life sciences.

QuantumBind® brings together generative chemistry, quantum-level molecular simulations, active learning, and high-performance GPU computing into a single cohesive workflow. It is particularly well-suited for organizations seeking to identify and optimize small molecule candidates that meet stringent potency, selectivity, bioavailability, and toxicity requirements.

Generative Chemistry

• Utilizes chemistry large-language models (LLMs) and reinforcement learning workflows to efficiently identify small molecules within desirable chemical spaces.
• Simultaneously optimizes for potency, selectivity, bioavailability, and toxicity criteria.
• Models are specially optimized for low-data scenarios, making them effective even when experimental data is limited.
• Powered in part by ACEGEN, Acellera's open reinforcement learning toolkit for generative drug design, available via GitHub and peer-reviewed publication.

Quantum-Level Simulation Accuracy

• Acellera brings world-leading expertise in statistical mechanics and high-performance computing, having developed foundational tools such as ACEMD and OpenMM.
• QuantumBind® features novel neural network-based potentials (NNPs) trained on millions of quantum mechanics (QM) data points.
• These NNPs deliver molecular simulations with experimental-level accuracy, enabling researchers to trust the results of in silico studies.

Active Learning and ML-Driven Optimization

• Designed to maximize the value of every new data point in low-data discovery scenarios.
• Generative predictive models are continuously improved with each discovery cycle by incorporating tens to thousands of new simulation and experimental data points.
• After just a few iterative cycles, the platform can achieve significant efficiency improvements for individual targets.

High-Performance and Secure Computing Infrastructure

• Acellera manages its own proprietary computing infrastructure, equipped with dozens of top-tier GPUs and large-scale storage and database capabilities.
• Infrastructure is continuously optimized at every level to guarantee maximum computational efficiency.
• The platform and its underlying infrastructure are ISO 27001 certified, ensuring enterprise-grade data security for sensitive discovery programs.