Computation Drives Innovation, Design Empowers Biology
Empowered by cutting-edge AI algorithms and high-throughput screening platforms, we accelerate protein engineering, novel enzyme discovery, and innovative drug R&D, delivering efficient, data-driven solutions for synthetic biology and healthcare.
AI protein design and drug design
Leveraging advanced artificial intelligence algorithms, we accurately predict protein structure and function, enabling the de novo design of novel proteins with specific biological activities. Through deep learning and large-scale data analysis, we accelerate the development of antibodies, enzymes, and therapeutic proteins, delivering efficient and reliable innovative solutions for drug discovery and synthetic biology.
Small-molecule drug design
Combining computational chemistry and machine learning, we efficiently screen and optimize small molecule drug candidates with high potency and selectivity. Through virtual screening, pharmacophore modeling, and ADMET prediction, we significantly shorten the lead compound discovery cycle, improve R&D success rates, and help tackle complex disease targets.
Enzyme engineering
Focusing on the rational design and engineering of enzymes for industrial and pharmaceutical applications, we combine artificial intelligence algorithms with physical simulations to support directed evolution strategies, facilitate novel enzyme discovery, and enhance catalytic efficiency, stability, and substrate specificity. We provide customers with high-performance customized enzymes widely used in biocatalysis, green manufacturing, and synthetic biology.
Enzyme database & synthesis planning
Leveraging our proprietary enzyme catalysis reaction database and AI-driven synthesis planning platform, we provide customers with enzyme data search and analysis, intelligent design services from target molecules to executable routes, and data-rich feasibility analysis for biosynthetic projects—delivering efficient, data-driven solutions for biomanufacturing.
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