Integrated molecular structure prediction AI for drug discovery 'AlphaFold3' operating PC
HPC solutions that accelerate the prediction of complex molecular structures.
In the drug discovery industry, accurately predicting the structure and interactions of molecules that could become drug candidates is a crucial factor that influences the success of new drug development. AI models like AlphaFold3 innovate this process by predicting the structures and interactions of complex molecules such as proteins, DNA, RNA, and ligands with high precision. However, these models require high-performance GPUs, and computational capacity can become a bottleneck. Our HPC is equipped with the recommended NVIDIA H200 GPU for running AlphaFold3, accelerating target exploration in drug discovery research. 【Use Cases】 - Identification of drug discovery targets - Molecular docking simulations - Screening of drug candidate compounds 【Benefits of Implementation】 - Increased efficiency in drug discovery research - Reduced new drug development timelines - Lower research costs
- 企業：アプライド
- 価格：10 million yen-50 million yen
