Diaz, Daniel J.

Synthetic microbial sensing and biosynthesis of amaryllidaceae alkaloids

d’Oelsnitz, S., Diaz, D., Acosta, D., Schechter, M., Minus, M., Howard, J., Loy, J., Do, H., Alper, H. S., & Ellington, A. D. (2023) · Nature Communications

Enzyme Catalysis and ImmobilizationPlant biochemistry and biosynthesis

Cited by 58

Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme

d’Oelsnitz, S., Diaz, D. J., Kim, W., Acosta, D. J., Dangerfield, T. L., Schechter, M. W., Minus, M. B., Howard, J. R., Do, H., Loy, J. M., et al. (2024) · Nature Communications

Enzyme Catalysis and ImmobilizationPlant biochemistry and biosynthesis

Cited by 58

Learning the local landscape of protein structures with convolutional neural networks

Kulikova, A. V., Diaz, D. J., Loy, J. M., Ellington, A. D., & Wilke, C. O. (2021) · Journal of Biological Physics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 23

Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry

Kulikova, A. V., Diaz, D. J., Chen, T., Cole, T. J., Ellington, A. D., & Wilke, C. O. (2023) · Scientific Reports

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 15

A systematic evaluation of the language-of-viral-escape model using multiple machine learning frameworks

Allman, B. E., Vieira, L., Diaz, D. J., & Wilke, C. O. (2025) · Journal of The Royal Society Interface

SARS-CoV-2 and COVID-19 ResearchEvolution and Genetic Dynamics

Cited by 11