aceAI-Driven Enzyme Engineering: Emerging Models and Next-Generation Biotechnological Applications
Enzyme engineering drives innovation in biotechnology, medicine, and industry, yet conventional approaches remain limited by labour-intensive workflows, high costs, and narrow sequence diversity. Artificial intelligence (AI) is revolutionising this field by enabling rapid, precise, and data-driven enzyme design. Machine learning and deep learning models such as AlphaFold2, RoseTTAFold, ProGen, and ESM-2 accurately predict enzyme structure, stability, and catalytic function, facilitating rational mutagenesis and…
AI-driven enzyme engineering enables rapid, precise design of synthetic synzymes that catalyze non-natural reactions for use in pharmaceuticals, biofuels, and environmental remediation.
Evidence
- Peer-reviewedMolecules2025-12-22
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Truvace Impact Record TRV-2026-0435, v1: “AI-Driven Enzyme Engineering: Emerging Models and Next-Generation Biotechnological Applications.” Truvace, 2026-07-20. /record/TRV-2026-0435 (accessed at citation time). sha256 113b71f2c6bb2630…
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