Predicting Functional Diversity Within Enzyme Families: A Practical Perspective
Machine learning has become an increasingly powerful tool in enzyme discovery, enabling the prediction of enzyme activity, substrate scope, and functional specificity across diverse protein families. However, many reported models rely on narrowly sampled datasets and task‐specific benchmarks, limiting their robustness...