Screening de novo designed protein binders in unpurified lysate using flow induced dispersion analysis

Computational protein design can create binders against targets of interest, but identifying binders with sufficient affinity still requires biochemical screening of many designs. In this work, we test flow-induced dispersion analysis (FIDA) as a method for screening binders in a time and cost-effective manner. FIDA uses Taylor dispersion analysis to determine the hydrodynamic radius of fluorescently labeled biomolecules and their complexes. Here, we use FIDA to assess the binding of RFdiffusion-designed protein binders against the small helical peptide ALFA-tag and the guanylate kinase (GK) domain of PSD-95. Successful binders can be identified in a single measurement using heat-treated bacterial lysates, allowing rapid identification of binders with high affinity and thermostability. Subsequent titration experiments show micromolar affinities for ALFA-tag binders and nanomolar affinities for GK domain binders. The lack of immobilization, the minimal sample volume, and the compatibility with complex biological samples position FIDA as a valuable tool for the screening and characterization of computationally generated protein binders.

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Publication Details

Journal
Protein Science
Published
2025-09-13
DOI
https://doi.org/10.1002/pro.70286
Citations
1
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
1.36
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article

Screening de novo designed protein binders in unpurified lysate using flow induced dispersion analysis

Magnus Kjærgaard, Francisca Lucieide Rodrigues Pinheiro, Vili Lampinen, Jan Stanislaw Nowak et al.
1 citations
Protein Science
Monoclonal and Polyclonal Antibodies Research
1.36
article

Screening de novo designed protein binders in unpurified lysate using flow induced dispersion analysis

Magnus Kjærgaard, Francisca Lucieide Rodrigues Pinheiro, Vili Lampinen, Jan Stanislaw Nowak, Elena Zueva, Emily C. Pheasant, Ida K. Grene
article en
1 citations

Abstract

Computational protein design can create binders against targets of interest, but identifying binders with sufficient affinity still requires biochemical screening of many designs. In this work, we test flow-induced dispersion analysis (FIDA) as a method for screening binders in a time and cost-effective manner. FIDA uses Taylor dispersion analysis to determine the hydrodynamic radius of fluorescently labeled biomolecules and their complexes. Here, we use FIDA to assess the binding of RFdiffusion-designed protein binders against the small helical peptide ALFA-tag and the guanylate kinase (GK) domain of PSD-95. Successful binders can be identified in a single measurement using heat-treated bacterial lysates, allowing rapid identification of binders with high affinity and thermostability. Subsequent titration experiments show micromolar affinities for ALFA-tag binders and nanomolar affinities for GK domain binders. The lack of immobilization, the minimal sample volume, and the compatibility with complex biological samples position FIDA as a valuable tool for the screening and characterization of computationally generated protein binders.

Protein ScienceVol. 34(10)
Aarhus University (DK), Danish National Research Foundation (DK), Danish Pain Research Center (DK)
Openalex Percentile: Top 16%
Monoclonal and Polyclonal Antibodies Research
1.36
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Screening de novo designed protein binders in unpurified lysate using flow induced dispersion analysis — Magnus Kjærgaard, Francisca Lucieide Rodrigues Pinheiro, et al. · Protein Science (2025) | TGRS Research Map | TGRS