ArticleComputational and structural biotechnology journal2023
Machine learning-assisted medium optimization revealed the discriminated strategies for improved production of the foreign and native metabolites.
Article in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Engineering of Corynebacterium glutamicum for biosynthesis of the pharmaceutically active N-acetyltyramine: establishing and optimizing de novo production.Journal of biological engineering · 2026Article
- Time Series Data Mining for Linking the Shape of Bacterial Growth Curves to Biological Functions.Computational and structural biotechnology journal · 2026Article
- A comprehensive review on bacterial endophytic secondary metabolites: a road map from crude extract to lead molecule production.Frontiers in pharmacology · 2026Review
- Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida.Communications biology · 2025Article
- Data-driven discovery of the interplay between genetic and environmental factors in bacterial growth.Communications biology · 2024Article
- Review
- Recent advances in culture medium design for enhanced production of monoclonal antibodies in CHO cells: A comparative study of machine learning and systems biology approaches.Biotechnology advancesReview
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The composition of medium components is crucial for achieving the best performance of synthetic construction in genetically engineered cells. Which and how medium components determine the performance, e.g., productivity, remain poorly investigated. To address the questions, a comparative survey with two genetically engineered
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Registered trials
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