Drug discovery aims to develop new therapeutic agents that effectively target diseases while minimizing side effects for patients. Using multimodal data��such as molecular structures, cellular images, sequences, and unstructured data��can be highly valuable in identifying novel and safe drug candidates. Yet, creating multimodal AI models for computer-aided drug discovery is challenging.
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