MAPE-PPI
This project improves protein-protein interaction predictions by integrating advanced microenvironment-aware embeddings, offering both efficiency and precision. It adeptly utilizes datasets such as SHS27k, SHS148k, and STRING and supports pre-training on varied data sources like CATH and AlphaFoldDB. With pre-trained models ready for immediate Deployment, the ICLR 2024-published work ensures adaptable usage through customizable data pre-processing and seamless integration with PyTorch and CUDA. The framework's approach enhances understanding and applications in the field, making it highly practical and impactful.
