Bielefeld Pub
metadata only
Avoiding Replicates in Biocatalysis Experiments: Machine Learning for Enzyme Cascade Optimization
Siedentop R, Siska M, Hermes J, Lütz S, von Lieres E, Rosenthal K. Avoiding Replicates in Biocatalysis Experiments: Machine Learning for Enzyme Cascade Optimization. ChemCatChem. 2025;17(1): e202400777.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CascadeMAP: Autonomous Closed-loop Optimization of Enzyme Cascades via Microfluidics, Machine Learning and Agentic AI#343603
- Amazon’s Machine Learning Toolkit: Sagemaker#10785
- Next-Generation Food Enzymology: From Metagenomic Discovery to AI-Driven Biocatalyst Design#382245
- Integrating Machine-learning and Ultra-high-throughput Screening for Enzyme spaces exploration#394513
- Machine learning for catalyst and reaction media optimization#254142
Record · ID 1278800
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive