Peptide-Based Protein Capture Agents with High Affinity, Selectivity, and Stability as Antibody Replacements in Biodetection Assays

Abstract

Current biodetection assays that employ monoclonal antibodies as primary capture agents exhibit limited fieldability, shelf life, and performance due to batch-to-batch production variability and restricted thermal stability. In order to improve upon the detection of biological threats in fieldable assays and systems for the Army, we are investigating protein catalyzed capture (PCC) agents as drop-in replacements for the existing antibody technology through iterative in situ click chemistry. The PCC agent oligopeptides are developed against known protein epitopes and can be mass produced using robotic methods. In this work, a PCC agent under development will be discussed. The performance, including affinity, selectivity, and stability of the capture agent technology, is analyzed by immunoprecipitation, western blotting, and ELISA experiments. The oligopeptide demonstrates superb selectivity coupled with high affinity through multi-ligand design, and improved thermal, chemical, and biochemical stability due to non-natural amino acid PCC agent design.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2014
Accession Number
ADA608748

Entities

People

  • Amethist S. Finch
  • Bert Lai
  • Blake Farrow
  • Candice Warner
  • Deborah A. Sarkes
  • Dimitra N Stratis-Cullum
  • James R. Heath
  • Matthew B. Coppock

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Amino Acids
  • Antibodies
  • Biological Detection
  • Chemical Engineering
  • Chemical Synthesis
  • Chemistry
  • Department Of Defense
  • Detection
  • Detectors
  • Flow Rate
  • Military Research
  • Molecules
  • Peptides
  • Proteins
  • Surface Plasmon Resonance
  • Surface Plasmons
  • Thermal Stability

Readers

  • Critical Infrastructure Protection in CBRN and WMD Threats.
  • Energy Conservation and Renewable Energy Engineering.
  • Molecular and Cellular Biochemistry

Technology Areas

  • AI & ML
  • Autonomy
  • Autonomy - Autonomous System Control