How Can Computational Methods Predict Enzyme Activity?
Computational methods have become increasingly important in predicting enzyme activity. Techniques such as molecular dynamics simulations, quantum mechanics/molecular mechanics (QM/MM) approaches, and machine learning algorithms are employed to model enzyme-substrate interactions and predict catalytic efficiency. These methods help researchers understand the structural and dynamic properties of enzymes, aiding in the design of more efficient biocatalysts.
