We analyze your design-problem in order to identify the best objectives and metrics for the generative AI. Since we tailor-make the design process using modular components, we can quickly accommodate changes. ( We also provide support for designing custom metrics and modules. Find out more: AI Design Labs)
The generative AI will then start generating potential candidate molecules in this stage. After generating a dataset of molecules, another AI subsystem will analyze the dataset, determining how well the candidates perform based on problem-specific metrics. The generative AI takes these metrics into account and uses them to
become better at the task of designing better candidate molecules.
P.S. The molecule you see towards the right was created by our AI!
The optimization and generation procedure is performed over multiple stages, with each stage optimizing the designs created in the previous stage while generating novel designs at the same time. By iterating over the previous designs, the designed molecules will be optimized for the specific target of interest.
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