A Tethered Yeast Surface Display System Facilitates Enriching Epitope-Specific Binding Interactions

Clicks: 6
ID: 321491
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #13 of 29 articles by views in Protein Engineering Design and Selection

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Engineering proteins for therapeutic applications is a field that has seen substantial growth in the past two decades, but challenges remain. A major deficiency in current strategies is the lack of a means to efficiently screen for binding to key epitopes to yield a desired function. To meet this challenge, we designed a tethered yeast surface display construct that leverages high local concentrations by tethering a candidate protein binder to a target protein of interest (POI) via a flexible peptide linker. These high local concentrations enable screening of epitope-specific binders based on decreased signal due to inhibitory function when the construct is assayed alongside a competitive POI binder. We demonstrate that epitope-specific screening and enrichment is possible based on fluorescent output and study key optimization parameters. We anticipate this technique will accelerate binder development by reducing the need for downstream low throughput epitope mapping of isolated proteins.
Reference Key
openalex_W7169547860 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rojhae A. Panton, Jakob Lind, Amanda Richardson, Isabela Panozzo, Daniela Gómez García, Syed Muzaffar, Lawrence A. Stern
Journal Protein Engineering Design and Selection
Year 2026
DOI
10.1093/protein/gzag019
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.