Machine learning-guided directed evolution for protein engineering
Bedbrook et al. • Nature Methods (2023)
Using ML algorithms to optimize protein sequences for improved function and stability.
Explore our curated collection of cutting-edge research in protein engineering and environmental biotechnology.
Bedbrook et al. • Nature Methods (2023)
Using ML algorithms to optimize protein sequences for improved function and stability.
Schranz et al. • Cell (2023)
Discovery and characterization of novel proteins with applications in biotechnology.
Jumper et al. • Nature (2021)
AlphaFold2 breakthrough enabling structure-based protein engineering approaches.
García-Alvarado et al. • Nature Climate Change (2023)
Protein engineering approaches to develop enzymes capable of CO2 sequestration.
Zhu & Feng • Annual Review of Biomedical Engineering (2023)
Comprehensive overview of biotechnology solutions for environmental remediation.
Keasling & Garcia • Current Opinion in Biotechnology (2022)
Engineering biological systems for cleanup of contaminated environments.
Austin et al. • Trends in Biotechnology (2023)
Review of engineered enzymes for breaking down synthetic polymers and reducing plastic waste.
Romero & Arnold • Nature Biotechnology (2023)
Protein engineering strategies to enhance enzymatic efficiency in biofuel production.
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