bioRxivJClub
Learning the structural diversity in random protein sequence space
bioRxiv · · Preprint · Open access
Buchel, Neuwirthova + 7 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Random protein sequence libraries contain multiple physical phenotypes beyond soluble versus aggregated, including sequences yielding substantial FRET in both cytosol and visible assemblies.
- Why it matters: Life’s sampled protein sequences are a tiny fraction, leaving unknown which physical properties unevolved polypeptides already access versus those requiring evolutionary refinement.
- What they did: Using high-throughput FRET-based selection on a library of millions of random protein sequences, plus fluorescence imaging, biophysical characterization, and sequence-based modelling.
- The result: Phenotypes are predictable from sequence, and repeated selection for stronger FRET reduces population solubility, showing proximity-based selection alone may not favor biology-like protein states.
The findingWhy it mattersWhat they didThe result
- Open access
- 1 cites