Summary:
- This article discusses the development of a multimodal foundation model called ProteinGPT, which can generate and represent proteins in a controllable manner.
- ProteinGPT is a large language model trained on a diverse dataset of protein sequences, structures, and functions, allowing it to capture the complex relationships between protein sequence, structure, and function.
- The model can be used for various tasks, including protein design, structure prediction, and functional annotation, and demonstrates strong performance on a range of benchmarks, showcasing the potential of foundation models for advancing protein science and engineering.