Align to Innovate
Published October 16, 2024 | Version v3
Publication Open

Can protein expression be "solved"?

Creators

  • 1. ROR icon Align to Innovate
  • 2. ROR icon Lawrence Berkeley National Laboratory
  • 3. Agile BioFoundry
  • 4. ROR icon Joint BioEnergy Institute
  • 5. ROR icon University of Edinburgh
  • 6. E O Lawrence Berkeley National Laboratory
  • 7. ROR icon Friedrich Miescher Institute
  • 8. University of Ljubljana, Faculty of Chemistry and Chemical Technology.
  • 9. ROR icon University of California, San Francisco
  • 10. ROR icon Stanford University

Description

Recombinant protein expression is central to biotechnology’s application in academic exploration as well as human health, climate applications and the bioeconomy in general. However, not all proteins can be expressed in all organisms, and the field lacks a predictive model of soluble protein overexpression that could replace laborious experimental trial-and-error. Here, we discuss the state of the field and identify the lack of large, high-fidelity datasets as the primary bottleneck to progress. We review possible assays that could be used for data collection to identify a path toward an extensible experimental platform for collecting soluble recombinant protein overexpression data across organisms. We suggest that the resulting dataset should be used to train increasingly generalizable predictive models of protein expression to answer the question: “How can predictive protein expression be solved?”.

Files

Can protein expression be “solved”.pdf

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