Illuminating protein space with a programmable generative model
2023 · Nature · 345 citations
https://doi.org/10.1038/s41586-023-06728-8
Z
Zak Costello
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Zak Costello is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Microbial Metabolic Engineering and Bioproduction & Gene Regulatory Network Analysis & Distributed Control Multi-Agent Systems. The author has an h-index of 12, co-authored 25 publications.
Papers by this author
worksCombining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism
2020 · Nature Communications · 270 citations
https://doi.org/10.1038/s41467-020-17910-1
A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data
2018 · npj Systems Biology and Applications · 242 citations
https://doi.org/10.1038/s41540-018-0054-3
Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beer
2018 · Nature Communications · 212 citations
https://doi.org/10.1038/s41467-018-03293-x
Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida
2025 · Communications Biology · 10 citations
https://doi.org/10.1038/s42003-025-08039-2
Investigation of Bar-seq as a method to study population dynamics of Saccharomyces cerevisiae deletion library during bioreactor cultivation
2020 · Microbial Cell Factories · 9 citations
https://doi.org/10.1186/s12934-020-01423-z
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