AI-driven enzyme design is transforming industrial biocatalysis by enabling the rapid identification, engineering, and optimization of enzymes for specific industrial applications. Through machine learning and deep learning models, researchers can predict enzyme-substrate interactions, enhance catalytic efficiency, and reduce experimental timelines. These advancements hold immense promise across sectors such as pharmaceuticals, biofuels, food processing, and textiles, where enzyme specificity and stability are crucial. Integrating AI with computational biology tools also facilitates the discovery of novel enzymes and pathways for greener and more sustainable industrial processes.
