Rapid de novo discovery of peptidomimetic affinity reagents for human angiotensin converting enzyme 2

peer-reviewed · Communications Chemistry · 2022

peer-reviewed · Communications Chemistry · 2022. Genwei Zhang et al. Rapid discovery and development of serum-stable, selective, and high affinity peptide-based binders to…
Date 2022-01-19
Type peer-reviewed
Venue Communications Chemistry
Publisher Springer Science and Business Media LLC
Contribution downstream-application
DOI 10.1038/s42004-022-00625-3
Citations (OpenAlex) 17

Abstract

Rapid discovery and development of serum-stable, selective, and high affinity peptide-based binders to protein targets are challenging. Angiotensin converting enzyme 2 (ACE2) has recently been identified as a cardiovascular disease biomarker and the primary receptor utilized by the severe acute respiratory syndrome coronavirus 2. In this study, we report the discovery of high affinity peptidomimetic binders to ACE2 via affinity selection-mass spectrometry (AS-MS). Multiple high affinity ACE2-binding peptides (ABP) were identified by selection from canonical and noncanonical peptidomimetic libraries containing 200 million members (dissociation constant, K D = 19-123 nM). The most potent noncanonical ACE2 peptide binder, ABP N1 (K D = 19 nM), showed enhanced serum stability in comparison with the most potent canonical binder, ABP C7 (K D = 26 nM). Picomolar to low nanomolar ACE2 concentrations in human serum were detected selectively using ABP N1 in an enzyme-linked immunosorbent assay. The discovery of serum-stable noncanonical peptidomimetics like ABP N1 from a single-pass selection demonstrates the utility of advanced AS-MS for accelerated development of affinity reagents to protein targets.

Authors

  1. Genwei Zhang · Massachusetts Institute of Technology
  2. Joseph S. Brown · Massachusetts Institute of Technology
  3. Anthony J. Quartararo · FogPharma (United States), Massachusetts Institute of Technology
  4. Chengxi Li · Massachusetts Institute of Technology
  5. Xuyu Tan · Massachusetts Institute of Technology
  6. Stephanie Hanna · Massachusetts Institute of Technology
  7. Sarah Antilla · Massachusetts Institute of Technology
  8. Amanda E. Cowfer · Massachusetts Institute of Technology
  9. Andrei Loas · Massachusetts Institute of Technology
  10. Bradley L. Pentelute · Broad Institute, Koch Institute for Integrative Cancer Research At MIT, Massachusetts Institute of Technology

Methods and tools

Methods it uses

  • PEAKS: Commercial DP-based de novo

Seen in the charts

Back to the full map

Back to top