Protein Data

Protein data analysis focuses on extracting meaningful information from protein sequences and structures to understand their functions and interactions. Current research heavily utilizes deep learning, employing architectures like graph neural networks (GNNs), transformers, and recurrent neural networks (RNNs) to predict protein properties, dynamics, and interactions, often incorporating physical properties and evolutionary information. These advancements are crucial for accelerating drug discovery, protein engineering, and our fundamental understanding of biological processes, enabling more efficient and accurate predictions than previously possible.