Synthetic peptide combinatorial libraries (SPCLs): identification of the antigenic determinant of β-endorphin recognized by monoclonal antibody 3E7

Clemencia Pinilla, Jon R. Appel, Richard A. Houghten

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

The use of synthetic peptide combinatorial libraries (SPCLs), each composed of tens of millions of peptides, is described here for the identification of bioactive peptides. The identification of optimal peptide sequences is achieved through the screening of SPCLs in solution, each element of which is composed of more than 105 nonsupport-bound peptides in approximately equimolar representation, along with an iterative synthesis and screening process. Using an SPCL composed in total of 52 128 400 nonacetylated hexapeptides, along with an iterative selection process based on competitive ELISA, we identified the antigenic determinant of β-endorphin recognized by monoclonal antibody (mAb) 3E7. These results will be compared with the results found by others investigating mAb 3E7 using different peptide library approaches.

Original languageEnglish (US)
Pages (from-to)71-76
Number of pages6
JournalGene
Volume128
Issue number1
DOIs
StatePublished - Jun 15 1993
Externally publishedYes

Keywords

  • Bioactive peptide
  • competitive ELISA
  • drug discovery methods
  • iterative selection process
  • receptor

Fingerprint

Dive into the research topics of 'Synthetic peptide combinatorial libraries (SPCLs): identification of the antigenic determinant of β-endorphin recognized by monoclonal antibody 3E7'. Together they form a unique fingerprint.

Cite this