The Genion Quantum Technologies team has spent five years developing an innovative drug discovery platform based on Large Language Model (LLM) architecture, utilizing nearly 100 NVIDIA A100 GPUs. This platform integrates advanced Transformer technology and a database of over 22,000,000 small-molecule drug compounds (such as the ZINC database), conducting classification-based training for over 50,000 biological targets. The platform's engineering development is fully completed, and all intellectual property and engineering copyrights belong entirely to Genion Quantum Technologies.
Our technology platform combines the efficiency of artificial intelligence with the precision of quantum mechanics calculations, creating a unique drug discovery ecosystem. Through the synergy of deep learning and quantum simulations, we can perform precise drug design and optimization at the molecular level, greatly improving the success rate and efficiency of drug development.
Our proprietary innovative molecular fragmentation algorithm enhances the flexibility and diversity of drug molecule design. By breaking down complex molecules into functional fragments and then recombining them, we can create novel molecular structures with specific pharmacological activities.
Efficient integration of multi-source drug data to provide high-quality input for model training. Our platform can process structured and unstructured chemical data, extracting valuable information from public databases, patent literature, and experimental results.
AI-driven generative model for creating potentially active drug molecules with high efficiency. Our generative models based on conditional variational autoencoders and generative adversarial networks can produce novel molecular structures according to specific target and drug property requirements.
Rapid identification of highly active and selective candidate molecules using advanced screening models. Our screening system combines machine learning predictions and quantum mechanics calculations to precisely evaluate molecular binding to targets.
Optimization of drug Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties. Our multi-objective optimization algorithms can balance various drug properties, ensuring candidate drugs have not only good activity but also ideal pharmacokinetic characteristics.
Simulation of drug molecules binding to biological targets to predict binding affinity with high precision. Our docking module combines traditional molecular mechanics and quantum mechanics calculations to accurately model interactions between molecules.
Provides efficient drug synthesis route planning to ensure practical manufacturability. Our retrosynthetic analysis system can predict optimal synthesis pathways, considering reaction conditions, raw material availability, and cost factors.
Designs novel molecular structures that bypass existing patents, facilitating innovative drug development. Our patent analysis system can identify the protection scope of existing patents and guide the design of new molecules with similar functions but different structures.
This platform supports continuous learning and incremental training, allowing for the continuous integration of new drug molecule information and ongoing improvement of model performance. Its wide applicability covers tens of thousands of biological targets, providing highly flexible tools for drug discovery.
In terms of accuracy in drug generation and screening, the platform significantly outperforms traditional AI models, showcasing exceptional performance. By integrating quantum mechanics-based optimization techniques, the platform achieves precise molecular structure optimization, effectively overcoming the limitations of traditional data-driven algorithms. This breakthrough technology has been successfully validated and published, marking a major innovation in the industry.
The platform's model can reproduce experimentally active molecules that were not included in the training set, with a reproduction rate far exceeding industry standards, further proving its strong predictive power and reliability.
By significantly accelerating both innovative and generic drug development, the platform helps to reduce R&D costs while increasing the success rate of drug candidates. Its unique AI + Quantum Mechanics algorithm framework provides a novel solution for drug molecular design with broad application prospects. Moving forward, the Genion team will continue to optimize platform performance and explore new AI + Quantum Mechanics applications, driving technological advancements in drug discovery and creating greater value for the global pharmaceutical industry.
Our platform supports continuous learning and incremental training, allowing for the ongoing integration of new drug molecule information and optimization based on the latest scientific discoveries and experimental data.
In terms of accuracy in drug generation and screening, the platform significantly outperforms traditional AI models, predicting molecular interactions with targets at up to 85% accuracy.
By integrating quantum mechanics-based optimization techniques, the platform achieves precise molecular structure optimization, calculating electronic-level interactions and providing atomic-level precision simulations.
The platform can reproduce experimentally active molecules not included in the training set, with a reproduction rate exceeding 60%, far above the industry standard of 35-40%, proving its strong predictive capability.
Significantly accelerates both innovative and generic drug development, reducing development time by 40%, R&D costs by 30%, while increasing the success rate of drug candidates by 50%.
Wide applicability covers tens of thousands of biological targets across multiple disease areas, including cancer, neurodegenerative diseases, autoimmune disorders, and infectious diseases.
Genion Quantum Technologies' platform is designed to seamlessly integrate into existing drug development workflows. We provide flexible APIs and interfaces that allow interaction with common bioinformatics and computational chemistry tools.
Our technology platform offers multiple deployment options, including:
We provide comprehensive technical support and training to ensure clients can fully utilize the platform's capabilities. Our expert team is ready to assist with technical issues and provide customized solutions.