Literature DB >> 20709321

Chromatographic biopanning for the selection of peptides with high specificity to Pb2+ from phage displayed peptide library.

Rui Nian1, Duck Sang Kim, Thuong Nguyen, Lihan Tan, Chan-Wha Kim, Ik-Keun Yoo, Woo-Seok Choe.   

Abstract

Toxic heavy metal pollution is a global problem occurring in air, soil as well as water. There is a need for a more cost effective, renewable remediation technique, but most importantly, for a recovery method that is selective for one specific metal of concern. Phage display technology has been used as a powerful tool in the discovery of peptides capable of exhibiting specific affinity to various metals or metal ions. However, traditional phage display is mainly conducted in batch mode, resulting in only one equilibrium state hence low-efficiency selection. It is also unable to monitor the selection process in real time mode. In this study, phage display technique was incorporated with chromatography procedure with the use of a monolithic column, facilitating multiple phage-binding equilibrium states and online monitoring of the selection process in search of affinity peptides to Pb2+. In total, 17 candidate peptides were found and their specificity toward Pb2+ was further investigated with bead-based enzyme immunoassay (EIA). A highly specific Pb2+ binding peptide ThrAsnThrLeuSerAsnAsn (TNTLSNN) was obtained. Based on our knowledge, this is the first report on a new chromatographic biopanning method coupled with monolithic column for the selection of metal ion specific binding peptides. It is expected that this monolith-based chromatographic biopanning will provide a promising approach for a high throughput screening of affinity peptides cognitive of a wide range of target species. 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20709321     DOI: 10.1016/j.chroma.2010.07.048

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  2 in total

1.  Current and Emerging Tools of Computational Biology To Improve the Detoxification of Mycotoxins.

Authors:  Natalie Sandlin; Darius Russell Kish; John Kim; Marco Zaccaria; Babak Momeni
Journal:  Appl Environ Microbiol       Date:  2021-12-08       Impact factor: 5.005

2.  SABinder: A Web Service for Predicting Streptavidin-Binding Peptides.

Authors:  Bifang He; Juanjuan Kang; Beibei Ru; Hui Ding; Peng Zhou; Jian Huang
Journal:  Biomed Res Int       Date:  2016-08-17       Impact factor: 3.411

  2 in total

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