ArticleACS synthetic biology2025
Cell-Free Protein Synthesis as a Method to Rapidly Screen Machine Learning-Generated Protease Variants.
Article in ACS synthetic biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Automated synthetic cell-based screening for designed proteins with emergent functions.Nature communications · 2026Article
- Tardigrade-Derived Strategy for Low-Cost Storage of Cell-Free Expression Lysates.ACS synthetic biology · 2026Article
- Scorpion Venom Peptides: From Structural Scaffolds to Therapeutic Applications-A Focus on Antioxidant Mechanisms and Translational Perspectives.Antioxidants (Basel, Switzerland) · 2026Review
- Precision hydrolysis: tailored yeast processing enzymes for yeast-based products.Applied microbiology and biotechnology · 2026Review
- Automated and Programmable Cell-Free Systems for Scalable Synthetic Biology with a Focus on Biofoundry Integration.Journal of microbiology and biotechnology · 2025Review
- Optimization of regulatory DNA with active learning.Computational and structural biotechnology journal · 2025Article
- Cell-free protein synthesis platforms for accelerating drug discovery.Biotechnology notes (Amsterdam, Netherlands) · 2025Review
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Authors and funding
4 authors.
Funding
Abstract
Machine learning (ML) tools have revolutionized protein structure prediction, engineering, and design, but the best ML tool is only as good as the training data it learns from. To obtain high-quality structural or functional data, protein purification is typically required, which is both time and resource consuming, especially at the scale required to train ML tools. Here, we showcase cell-free protein synthesis as a straightforward and fast tool for screening and scoring the activity of protein variants in ML workflows. We demonstrate the utility of the system by improving the kinetic qualities of a protease. By rapidly screening just 48 random variants to initially sample the fitness landscape, followed by 32 more targeted variants, we identified several protease variants with improved kinetic properties.
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Registered trials
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