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Updated: Apr 18, 2026

Split-and-pool Synthesis and Characterization of Peptide Tertiary Amide Library
Published on: June 20, 2014
Synthesis and cell-based screening of one-bead-one-compound peptide libraries
Fernanda C Bononi1, Leonard G Luyt
1Department of Chemistry, The University of Western Ontario, London, ON, Canada.
One-bead-one-compound (OBOC) peptide libraries enable rapid screening of millions of compounds for target affinity. This study details the methodology for synthesizing, screening, and deconvoluting an OBOC peptide library against a cancer cell line.
Area of Science:
- Biochemistry
- Molecular Biology
- Medicinal Chemistry
Background:
- Combinatorial one-bead-one-compound (OBOC) peptide libraries are effective for identifying molecules targeting specific biological entities.
- These libraries allow for the rapid synthesis and screening of millions of unique compounds.
- OBOC technology is applicable to various targets, including cell surface receptors and enzymes like kinases, proteases, and phosphatases.
Purpose of the Study:
- To describe the methodology for creating and screening an OBOC peptide library.
- To analyze the affinity of the synthesized peptides to a specific cancer cell line.
- To detail the process of sequence deconvolution for identified compounds.
Main Methods:
- Synthesis of a combinatorial one-bead-one-compound (OBOC) peptide library.
- Screening of the library using whole-cell binding assays on a cancer cell line.
- Sequence deconvolution of the identified active compounds from the beads.
Main Results:
- Successful synthesis and screening of a large-scale OBOC peptide library.
- Identification of peptide binders with affinity to the target cancer cell line.
- Demonstration of the feasibility of the described methodology for drug discovery.
Conclusions:
- The OBOC peptide library approach is a powerful tool for identifying novel bioactive peptides.
- The described methodology facilitates the discovery of compounds with specific cellular affinities.
- This technique holds promise for accelerating the identification of therapeutic leads for cancer and other diseases.
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