I have an idea :
Propose adding integration with a Large Language Model (LLM) or other advanced machine learning (ML) model to improve protein structure predictions and annotations in AlphaFold.
Motivation
Incorporating LLMs or new ML models could:
- Enable more nuanced protein sequence understanding.
- Allow for enhanced extraction of biological knowledge from literature.
- Improve annotation and explainability of predictions.
Proposed Solution
- Investigate the feasibility of using LLMs to assist or augment the main AlphaFold pipeline, e.g., for literature mining, prediction explanation, or sequence embedding.
- Prototype an interface or module for this integration.
Additional Context
This enhancement would open up new research directions and potentially improve the interpretability and accuracy of AlphaFold's predictions for the ML/AI community.